Senior Data Scientist

5 - 9 years

13 - 18 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Our Purpose

Title and Summary

Senior Data Scientist

Overview

  • Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
  • Are you excited about Data Assets and the value they brings to an organization?
  • Are you an evangelist for data driven decision making?
  • Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
  • Do you want to be the go-to resource for data analytics in the company?
  • The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Role & Responsibilities

  • Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
  • Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
  • Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
  • Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
  • Provide 1st level insights / conclusions / assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
  • Apply quality control, data validation, and cleansing processes to new and existing data sources.
  • Lead, mentor and guide more junior team members.
  • Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
  • Bring your Passion and Expertise

All About You

  • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
  • Financial Institution or a Payments experience a plus
  • Experience presenting data findings in a readable and insight driven format. Experience building support decks.
  • Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
  • Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
  • Experience with data visualization tools such as Looker, Tableau, PowerBI
  • Experience with Python, R, a plus
  • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
  • Excellent problem solving, quantitative and analytical skills
  • In depth technical knowledge, drive and ability to learn new technologies
  • Strong attention to detail and quality
  • Team player, excellent communication skills
  • Must be able to interact with management, internal stakeholders and collect requirements
  • Must be able to perform in a team, use judgment and operate under ambiguity

Education

  • Bachelors or Masters Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

Additional Competencies

  • Excellent English, quantitative, technical, and communication (oral/written) skills
  • Analytical/Problem Solving
  • Strong attention to detail and quality
  • Creativity/Innovation
  • Self-motivated, operates with a sense of urgency
  • Project Management/Risk Mitigation
  • Able to prioritize and perform multiple tasks simultaneously

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