Redshift Jobs in Gurugram.
All active Redshift roles based in Gurugram.
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About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.
This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems
You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.
Roles & Responsibilities
- Own and manage business-critical data across Revenue, Operations, and GTM functions
- Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
- Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
- Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
- Translate business problems into structured data analysis and scalable reporting solutions
- Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
- Develop and maintain data models and ensure consistency across reporting systems
- Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
- Support planning and forecasting through data analysis and performance tracking
- Ensure data accuracy, hygiene, and governance across systems and dashboards
- Contribute to building scalable data infrastructure and improving accessibility of insights across teams
- Present insights and recommendations clearly to stakeholders, including leadership
- Lead and manage a team of data analysts, market research, and sales ops ICs
What We’re Looking For
Experience
- 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
- Prior experience working with Sales / GTM / Revenue teams is preferred
- Experience is leading a team of analysts is preferred
Technical Skills
- Strong proficiency in SQL
- Hands-on experience with Power BI (or similar BI tools) – Advanced level
- Strong working knowledge of Excel / Google Sheets
- Experience with Python for automation and data processing (preferred)
- Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)
Business & Analytical Skills
- Strong understanding of business metrics across pipeline, revenue, and operations
- Ability to convert ambiguous business problems into structured analysis
- Strong problem-solving and analytical thinking
Soft Skills & Mindset
- High ownership and accountability
- Ability to work in a fast-paced, cross-functional environment
- Strong communication skills, with the ability to work with senior stakeholders
Good to Have
- Experience in B2B SaaS or high-growth startup environments
- Exposure to CRM tools (e.g., HubSpot, Salesforce)
- Experience working on performance tracking, forecasting, or incentive reporting
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Senior Data Analyst (Operations Analytics)
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
Ready to apply?
Apply to Zinnia - Employee Referral
Senior Data Analyst (Operations Analytics) - 6+ Yrs
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 6+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
Ready to apply?
Apply to Zinnia
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon