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Data Analytics Manager

As a Manager, you will be working on client-specific projects and will be expected to understand the client data architecture. You will be required to use different technical skills and a variety of tools to generate actionable insights from a variety of client data sources. Your focus shall remain on solving business problems while working with structured as well as unstructured data. Dealing with ambiguity, yet providing a structured approach to resolve a client’s business issues will be a key requirement in this client facing role.

Responsibilities

Client Interaction and Management

  • Understanding the client objective and managing client expectations on projects along with the Account Manager
  • Independently work with client to scope and deliver on projects as a part of larger team or individually, as required
  • As part of a larger team, align requirements on different work streams and tasks assigned by the client
  • Independently lead client calls

Project Management

  • Making significant contributions to the design of the analytical approach and work plan
  • Being responsible for smooth project operations – overall project quality and productivity of teams

People Management

  • Build team capabilities through training and knowledge sharing to expand account and data science group
  • Manage team as the account expands/new accounts are acquired
  • Mentor individuals and impart skills by way of trainings and on-the-job coaching

Other Initiatives

  • Assist other Data Science teams with client work if you have a skill or insight that may be wanting in the other team
  • Participating in organization-improvement initiatives and activities such as knowledge management
  • Conducting skill-based internal training sessions independently
  • Helping the organization in scaling up by actively participating in recruitment drives at the premises or on campus.

Must haves:

  • SQL, R, Python, Tableau/other dashboarding tools, Basic Excel, Basic PowerPoint
  • Ability to build data flows/API integrations with other systems
  • Demonstrated work with business problem solving, automation, and dashboarding within the data science context
  • Written and verbal communication for extensive client handling
  • People management experience
Data Analytics Manager

Skills Needed:

  • Experience mapping business questions and translate the client requirement to data mining and draw insights that answer client questions
  • Ability to build domain expertise across industries and implement Data Science use cases, accordingly
  • Should definitely be comfortable with SQL, R, Python, Tableau/PowerBI/others (any one)
  • Knowledge of advanced statistical techniques and concepts (regression, properties of
  • distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), building models for data analysis and their real-world advantages/drawbacks.
  • Detailed knowledge of data handling (mining) is required
  • Experience working with and creating data architectures / data farms (from different data formats into a consolidated data base)
  • Data munging: able to work across different data sources (structured or unstructured).Knowledge of unstructured databases (MongoDB) will be a plus
  • Able to work with Data visualization & communication tools such as TIBCO Spotfire, Tableau, Power BI and Qlikview

Background:

  • Graduate with an engineering degree (preferably Computer Science) or a degree in statistics/math with experience in coding or equivalent
  • Post Graduate with analytical pedigree (preferably Operations Research, Econometrics or MBA equivalent with analytical electives)
  • 4-7 years of relevant experience in Analytics. Relevant analytics experience in Operational and Sales Analytics is a plus
  • Certification in Data Science coursework from internationally recognized platforms will be a plus
  • Performance metrics in Kaggle and Analytics Vidhya Data Science competitions will be a plus
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