Associate Manager Analytics Hyd

Sigmoid

Hyderabad

On-site

INR 1,500,000 - 2,100,000

Full time

2 days ago
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Job summary

Sigmoid Analytics is a leading data solutions company seeking an Associate Manager Analytics to handle a broad range of analytics, visualization and BI challenges across industries. You will engage with clients, map processes, and translate business problems into analytical solutions using stats/ML techniques.

You will lead a team of data analysts, collaborate with data scientists and engineers to embed AI in decision processes, and develop advanced models and visualizations using Power BI,

Qualifications

  • 4-6 years of relevant analytics experience
  • BE/B.Tech, MBA or advanced degree in Mathematics/Statistics
  • Strong knowledge of statistical and machine learning concepts
  • Proficiency with Python libraries: SciPy, NumPy, Pandas, scikit-learn
  • Experience with distributed big data processing (PySpark, Jupyter, Linux, AWS)

Responsibilities

  • Engage with clients to understand their business context
  • Map business processes and visualize them clearly
  • Translate business problems into analytical structures and solve using statistical/ML techniques
  • Manage a team of data analysts delivering client solutions
  • Collaborate with data scientists and engineers to embed AI and analytics into decision processes
  • Generate data cuts/outputs per specifications (survey clean-up, weighting, recoding, etc.)
  • Conduct quantitative analyses and interpret results

Skills

Algorithms & models
End-to-end analysis
Problem solving
Client interaction
Data visualization

Education

BE/B.Tech
MBA
Math/Statistics degree

Tools

Power BI
Tableau
QlikView
Spotfire
MS SQL Database
Python (libraries)
PySpark
Jupyter
Linux
AWS

Job description

Job Description:

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 inMathematics/Statistics orEquivalent.

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)

Requirements:

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