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Data Analyst, Data Analytics
New York, NY
Data Analyst
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are seeking a strong Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.
RESPONSIBILITIES
- Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
- Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
- Identify new & iterative high-impact opportunities to further scale or improve unit economic efficiency
- Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
- Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
ABOUT YOU
- 3+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry.
- Strong proficiency in SQL and Python for data analysis and manipulation.
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Familiarity with data warehousing and transformation tools such as dbt is a plus.
- Excellent problem-solving skills and the ability to translate complex data into actionable insights.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Additional Skills and Qualifications:
- Experience with Looker or other business intelligence tools is preferred.
- Exposure to dimensional modeling concepts to power meaningful analytics.
- Ability to visualize data effectively and communicate insights clearly and concisely.
- Experience modeling data using dbt.
- Familiarity with machine learning techniques and predictive analytics is a plus.
- Experience working with Fintech, banks or a B2C company.
This role has a base salary range of $130,000.00-$175,000.00 Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS:
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Ready to apply?
Apply to Current
SENIOR ANALYTICS ENGINEER
Current is a leading U.S. fintech serving people who have been overlooked by traditional banks with nearly 6 million members. Headquartered in NYC, our results-driven environment enables us to build better products, grow faster and empower everyone on our team to have an impact on our business and our mission to improve financial outcomes for our members.
ABOUT THE ROLE
This role on the data team will play an important part in contributing to the future of Current’s growth and serving data analytics and science needs of various teams at Current. Building dimensional models in the data warehouse, data marts and transformation pipelines is something you are proficient at.
You will build Data Warehouse and Data Models at Current. Partnering with data analysts, data scientists and engineers to support their data modeling and reporting needs will enable you to be successful in this role. You will also work closely with the engineering team to build an efficient data infrastructure and tooling for data ingestion, transformation and analytics purposes.
RESPONSIBILITIES
- Build data warehousing and data modeling strategy and roadmap.
- Build core data models and data marts in the Data Warehouse.
- Design and build data transformation pipelines, dimensional models, data marts and data aggregation layers in dbt, Airflow and Bigquery.
- Implement scalable and easy to use data models housing complex data sets
- Support Looker as a primary data reporting and analytics tool and build core data models in Looker to easily do sophisticated data analysis
- Work closely with Banking, Product, Marketing, Finance, Credit, Risk and other teams to support their analytics and modeling needs in Looker.
- Partner with data engineers to build data integrations, robust tools and infrastructure.
- Implement framework and processes for data reconciliation and quality management.
- Build trust and confidence in the data that you and your team will transform/produce.
ABOUT YOU
- 6+ years of experience working as a data engineer or analytics engineer.
- Implemented dimensional models and summarized data marts in the data warehouse; completed at least one full Data Warehouse development cycle
- Fluent in building data transformation pipelines, dimensional models and data marts. using one or more ETL or Transformation tools(Preferred: dbt)
- Proficient in dimensional modeling concepts to power meaningful analytics.
- 3+ year of experience building meaningful metrics, reports and dashboards in BI/reporting tools like (Preferred: Looker).
- Strong expertise in SQL and performance tuning.
- Experience working with services in cloud environment(s) like AWS or GCP.
- Programing experience in Python, Scala or other language(s)
- Focus on data quality, integrity and security
NICE TO HAVE
- Experience modeling data in dbt and Looker.
- Experience working with Financial services companies.
- Experience working with one or more MPP databases(Prefered: Bigquery, etc).
- Experience in D2C domains.
This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Ready to apply?
Apply to Current
MANAGER, DATA ANALYTICS
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are looking for a hands-on analytics leader to guide our data and business analytics strategies and manage high-performing teams. This pivotal role involves driving business growth and enhancing the entire customer lifecycle experience. Serving as a key strategic partner to departmental leaders, the Lead/Manager, Data Analytics will leverage data to inform crucial decisions, optimize operations, and pinpoint opportunities for growth and efficiency.
This role will lead a team of talented analysts, working cross-functionally to launch new products, scale existing offerings, and fuel business growth. By deeply understanding customer behavior, you will ensure a seamless user experience and inform strategies that enhance member value.
In this hands-on leadership role, you will enforce functional processes and best practices while driving the development of analytical projects. You will be responsible for reviewing the work of your team, providing structural guidance on complex analyses, and developing talent strategies to ensure ongoing success. Your experience in experimentation frameworks, business intelligence, and deep-dive analytics will be instrumental in shaping the future of financial products at Current.
RESPONSIBILITIES
- Lead and mentor a team of data analysts, fostering a culture of analytical excellence by reviewing work, structuring complex analyses, and providing actionable feedback.
- Partner with product managers, business leaders and engineering to design, implement, and analyze experiments.
- Deliver timely insights and reporting that identify key business performance drivers and uncover untapped growth opportunities for the leadership.
- Partner with stakeholders across Product, Analytics Engineering, and Engineering to design robust data models and define data requirements.
- Enforce functional processes, best practices, and data governance to ensure data integrity, accuracy, and consistency across all reporting and analyses.
- Enable the development of analytics models, segmentation, and personalization strategies to optimize P&L growth and retention.
- Collaborate with Analytics Engineering to build scalable data pipelines and models
- Partner with Finance and Business Leads on revenue forecasting, growth projections, and business case validation.
- Effectively manage team resources and personal bandwidth to prioritize and deliver high-quality analytical projects in a fast-paced environment.
ABOUT YOU
- 7+ years of experience in data analytics, with 3+ years specifically managing and leading high-performing analytics teams.
- Strong hands-on proficiency in SQL and Python for data analysis, automation, and statistical inference.
- Proficient in designing, analyzing, and interpreting A/B and multivariate experiments.
- Proven ability to uncover revenue and growth opportunities through deep-dive behavioral analytics and customer segmentation.
- Skilled in developing compelling dashboards and reports to communicate complex insights effectively to non-technical stakeholders.
- Experience working closely with Product, Marketing, Finance, and Engineering teams to roll out features and track impact.
- Strong knowledge of statistical significance testing, forecasting methods, and data modeling best practices.
- Track record of improving conversion and retention through data-driven product strategies.
- Experience building and enforcing standard operating procedures (SOPs) for analytics teams.
Preferred Skills & Qualifications
- Experience in fintech, B2C products, or customer-centric tech industries.
- Familiarity with financial services or credit risk domain and data.
- Exposure to machine learning modeling workflows (classification, regression).
This role has a base salary range of $190,000 - $228,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Ready to apply?
Apply to Current
DIRECTOR OF DATA ANALYTICS
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are seeking a high-caliber, hands-on Director of Data Analytics to lead and scale our functional analytics organization. In this role, you will oversee analytics teams embedded across various departments, ensuring that data-driven insights are at the heart of every strategic decision at Current.
As a functional leader, you will be the guardian of analytical excellence. You will partner with department leads to align on high-level strategy while working closely with your embedded analytics leaders to ensure they are following established frameworks and rigorous data processes. You are a leader who remains deeply technical. You are capable of diving into a root-cause analysis, reviewing analysis design and structure, or reading a complex experimental readout alongside your team. You must be a master storyteller who can translate complex data into compelling narratives that drive adoption and organizational change.
RESPONSIBILITIES
- Lead the analytics function across the organization, ensuring consistency in methodologies, toolsets, and quality standards across all embedded teams.
- Work closely with Department Leads to align analytics roadmaps with broader business goals and P&L objectives.
- Establish and monitor the adoption of standardized processes for experimentation, data modeling, and reporting. Ensure every team follows Current’s best practices for data trust and integrity.
- Act as an expert to structure and guide deep dive exploratory, root-cause analyses and business cases.
- Be ready to get hands-on with data to solve the company's most complex or ambiguous problems.
- Actively participate in formal reviews for RFCs, experimental designs, and learning briefs. Provide critical oversight on success metrics and the interpretation of complex test results.
- Manage the performance, career tracks, and professional growth of Analytics Managers and Leads. Serve as a mentor to elevate the technical and storytelling bar of the entire org.
- Actively manage and oversee team bandwidth and prioritize high-impact initiatives.
- Step in to lead work streams directly if a Lead is unavailable or if a project requires senior-level intervention.
- Develop and expand the analytics organization to support and keep pace with business growth.
- Drive the adoption of a data-driven culture by delivering powerful insights and narratives to executive leadership that influence the company’s trajectory.
- Collaborate closely with peers across the engineering, analytics engineering, and data science organizations to advance initiatives related to data modeling, experimentation, and analytics.
ABOUT YOU
- 10+ years of experience in data analytics, including 5+ years in the D2C domain, ideally within high-growth, customer-centric industries.
- 5+ years of leadership experience managing managers and overseeing cross-functional or embedded analytics structures.
- Demonstrated expert proficiency in SQL and Python, including the ability to independently conduct sophisticated analyses and optimize code for performance enhancements.
- Expertise in the design, interpretation, and monitoring of randomized controlled trials (A/B/n testing), encompassing significance testing and statistical inference.
- Skilled in developing and interpreting complex, advanced experimental frameworks.
- You have a proven track record of using data to change minds and drive strategy. You can tailor your communication to be equally effective with an individual contributor or a C-suite executive.
- You are to translate complex data into compelling, structured narratives and actionable insights with ease.
- Experienced in designing and implementing dashboards that provide structured and actionable information.
- Experience with dimensional modeling, utilizing Kimball methodologies optimized for a modern data ecosystem.
- You can find the needle in the haystack, using root-cause analysis to turn ambiguous data into clear business opportunities.
- Built and maintained scalable analytics infrastructure, collaborating with Product, Engineering, and Finance teams to define success metrics and validate hypotheses.
- Advanced degree in a quantitative field (Statistics, Economics, Computer Science, etc.) or equivalent practical experience.
NICE TO HAVE
- Direct experience in the D2C Fintech domain is preferred.
- Experience managing distributed or hybrid teams.
- Managed and led teams distributed across various time zones.
- Expertise in data transformation and modeling.
This role has a base salary range of $260,000 - $320,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
Ready to apply?
Apply to Current
Senior Business Intelligence Engineer
About Current
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
About the Role
We are seeking a Senior Business Intelligence Engineer to lead the design, implementation, scaling and maintenance of our analytics and reporting infrastructure. This role will focus on establishing data governance, building trusted, scalable datasets, implementing frameworks and best practices for metrics and reporting, and enabling high-quality self-serve analytics across the organization. You will partner closely with peers on analytics engineering, data engineering, and business teams to ensure the BI and Analytics ecosystem is reliable, performant, and aligned with business needs.
Responsibilities
- Develop and maintain enterprise-wide dashboards and reports in Looker for business and cross-functional teams.
- Ensure data quality, consistency, and governance across all BI and analytics layers.
- Collaborate with business stakeholders to translate requirements into scalable analytics solutions.
- Optimize BI performance and data warehouse usage for speed, cost efficiency, and scalability.
- Define and enforce frameworks and best practices for dashboards, reporting, metric definitions, and data consumption.
- Design, build, and maintain core analytics datasets and dimensional data models to support reporting and decision-making.
- Build and support experimentation, funnel analysis, and measurement frameworks for key business initiatives.
- Mentor analysts and junior BI engineers to strengthen analytics capabilities and best practices.
- Conduct Looker office hours and training sessions to drive adoption and enablement.
- Enable self-serve analytics by improving data discoverability, documentation, and tooling.
- Partner with analytics engineering and data teams to ensure alignment between dbt models, ETL pipelines, and BI consumption.
About You
- 5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience building and scaling analytics platforms.
- Strong experience with Looker / LookML development, visualization, and administration.
- Expert-level SQL skills and a deep understanding of dimensional data modeling and analytics-ready datasets.
- Experience partnering with dbt-modeled data and integrating with broader analytics engineering workflows.
- Strong understanding of data and BI governance, metric standardization, and self-serve analytics enablement.
- Comfortable owning and driving adoption of analytics platforms and data products, balancing immediate business needs with long-term maintainability.
- Excellent communication and collaboration skills, able to work effectively with both technical and non-technical stakeholders.
Nice to Have
- Experience with Looker or other business intelligence tools is preferred.
- Experience defining metric layers or semantic models at scale.
- Exposure to experimentation, funnel, and customer lifecycle analytics.
- Exposure to dimensional modeling concepts to power meaningful analytics.
- Prior experience running BI enablement sessions or office hours.
- Ability to visualize data effectively and communicate insights clearly and concisely.
- Experience modeling data using dbt.
- Familiarity with machine learning techniques and predictive analytics is a plus.
- Experience working with Fintech, banks or a B2C company
This role has a base salary range of $150,000 - $205,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
Ready to apply?
Apply to Current
Senior Data Analyst
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.
RESPONSIBILITIES
- Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
- Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
- Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies.
- Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies.
- Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
- Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
- Mentor junior analysts and contribute to a data-driven culture within the company.
ABOUT YOU
- 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry.
- Strong proficiency in SQL, Python, or R for data analysis and manipulation.
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Expertise in business intelligence, forecasting, and performance analytics.
- Familiarity with machine learning techniques and predictive analytics is a plus.
- Strong understanding of A/B testing, customer segmentation, and retention strategies.
- Excellent problem-solving skills and the ability to translate complex data into actionable insights.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Additional Skills and Qualifications
- Experience with Looker or other business intelligence tools is preferred.
- Exposure to dimensional modeling concepts to power meaningful analytics.
- Ability to visualize data effectively and communicate insights clearly and concisely.
- Experience modeling data using dbt.
- Familiarity with machine learning techniques and predictive analytics is a plus.
- Experience working with Fintech, banks or a B2C company.
This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Ready to apply?
Apply to Current
Senior Data Scientist
About Current
Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 6 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members.
About the Role
At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands-on role focused on solving complex problems, developing and deploying ML models, and driving data-driven decision-making.
Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes.
Responsibilities
- Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.
- Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.
- Evaluate and optimize model performance using statistical and ML techniques.
- Design and execute A/B tests to measure and validate model impact.
- Perform customer segmentation using various clustering techniques.
- Develop and implement model monitoring dashboards and establish model governance techniques.
- Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.
- Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment.
- Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
Qualifications
About You
- 5+ years of experience in data science with a strong emphasis on machine learning modeling.
- Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
- Expertise in SQL and working with large, complex structured and semi-structured datasets.
- Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
- Experience in feature engineering, model selection, and performance optimization.
- Experienced in designing, executing, analyzing, and reporting on experiments.
- Strong communication skills and ability to present findings to technical and non-technical stakeholders.
- Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred.
Preferred Skills & Qualifications
- Experience working in fintech, e-commerce, or other data-rich consumer-facing industries.
- Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training.
- Experience with dbt for data modeling.
- Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases.
- Experience using the Scala programming language for developing scalable and efficient data pipelines.
Benefits
- Competitive salary
- Stock options
- 401(k) savings plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Unlimited time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
Ready to apply?
Apply to Current
DATA ANALYST, CUSTOMER INTELLIGENCE
Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Growth team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences.
ABOUT THE ROLE
We are seeking a strong Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.
RESPONSIBILITIES
- Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
- Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
- Identify new & iterative high-impact opportunities to further scale or improve unit economic efficiency
- Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
- Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
REQUIREMENTS
- Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field.
- Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology.
- Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc).
- Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms.
- Excellent analytical and problem-solving skills with a strong attention to detail.
- Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences.
- Strong business acumen and the ability to translate business questions into data analysis plans.
- Experience with A/B testing and experimental design.
- Working experience with Python for data analysis.
ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS
- Familiarity with the fintech industry and banking products is a plus.
- Ability to thrive in a fast-paced, collaborative environment.
- Exposure to dimensional modeling concepts to power meaningful analytics.
- Experience building data pipelines in dbt.
- Familiarity with machine learning techniques and predictive analytics is a plus.
- Experience modeling data using dbt.
This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Ready to apply?
Apply to Current