Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
The below role is for our Bengaluru office.
About the Role:
We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.
More specifically, you will:
• Engage with clients to understand their business context
• Understand business processes and map the complete process in visual formats.
• Translate business problems into analytical structures and solve using statistical/ML techniques
• Manage a team of data analysts to deliver solutions for clients.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.
Desired Skills & Competencies:
• Developing and enhancing algorithms and models to solve business problem.
• Providing end-to-end analysis support across different industry domains and application areas.
• Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)
• Conducting quantitative analyses and interpreting results
• Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
• Proficient in MS SQL Database.
• Python knowledge is good to have.
• Strong analytical and problem-solving skills.
• Storyboarding, Client Interaction is a value addition.
Education & Desired Experience
• 4 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
• B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.Skills Required
- 4–6 years of relevant analytics experience focused on problem solving and advanced analytics solutions
- Bachelor of Engineering, MBA, advanced degree in Mathematics or Statistics, or equivalent
- Proficiency in at least one visualization tool: Power BI, Tableau, QlikView, or Spotfire
- Proficiency in MS SQL Database
- Strong analytical and problem-solving skills
- Python knowledge
- Storyboarding and client interaction experience
What We Do
Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.
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