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À propos de ce poste Scrum Master chez Synechron

Synechron · Sur site · Bengaluru - Bellandur (GTP)

Experience:

  • XX years of relevant experience


Summary:


The Consultant, Data & Analytics will play a key role in helping clients to unlock the value of their data. The role involves working with clients to understand their data and analytics needs and providing recommendations and solutions for data-driven decision making. The Consultant will work closely with other members of the technology and analytics teams to ensure that projects are delivered on time and within budget.

Key Skills:

  • Strong understanding of data analytics techniques and tools (e.g. SQL, R, Python, Tableau, PowerBI, etc.)
  • Excellent analytical and problem-solving skills
  • Strong communication and presentation skills
  • Ability to work independently and as part of a team
  • Experience with project management
  • Strong interpersonal skills and ability to build relationships with clients


Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field
  • XX years of relevant experience in data analytics
  • Strong understanding of data analytics techniques and tools (e.g. SQL, R, Python, Tableau, PowerBI, etc.)
  • Excellent analytical and problem-solving skills
  • Strong communication and presentation skills
  • Ability to work independently and as part of a team
  • Experience with project management
  • Strong interpersonal skills and ability to build relationships with clients

Responsibilities:

  • Work with clients to understand their data and analytics needs and provide recommendations and solutions for data-driven decision making
  • Conduct research, analyze data, and develop strategies to help clients unlock the value of their data
  • Develop technical specifications, presentations, and reports to support recommendations
  • Work closely with other members of the technology and analytics teams to ensure that projects are delivered on time and within budget
  • Keep up-to-date with industry trends and best practices, and assess their potential impact on clients' data and analytics needs
  • Provide training and support to other members of the team as required
  • Perform other duties as assigned by the Manager, Data & Analytics.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

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À propos de Synechron

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering , servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 2

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