Associate Manager Analytics (Hyd)

Sigmoid

Hyderabad

Sur place

INR 1 200 000 - 2 000 000

Plein temps

Il y a 42 heures
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Résumé du poste

Sigmoid Analytics in Hyderabad seeks an Associate Manager Analytics to lead data analytics, BI, and ML projects across industries. You will engage with clients, map processes visually, and translate business problems into analytical structures.

You will manage a team of data analysts, collaborate with data scientists and engineers, and help embed AI and analytics into business decision processes. A strong foundation in analytics, visualization tools, and SQL is essential.

Qualifications

  • Experience in analytics problem solving and model development.
  • Ability to lead analytics projects and teams.
  • Strong client-facing communication and business understanding.

Responsabilités

  • Engage with clients to understand business context and requirements.
  • Map business processes and translate problems into analytical structures.
  • Solve using statistical/ML techniques and deliver insights.
  • Manage a team of data analysts to deliver client solutions.
  • Collaborate with data scientists and engineers to embed AI into decision processes.

Connaissances

Analytical thinking
Team leadership
Problem solving
Communication

Formation

BE/B.Tech, MBA or Advanced degree in Mathematics/Statistics

Outils

Power BI
Tableau
QlikView
Spotfire
MS SQL
Python

Description du poste

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

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/B.Tech, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.
Preferred Qualifications (would be a plus)
  • Strong in statistical & machine learning concepts
  • Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn
  • Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)

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.

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