Manager, Data Science

Posted 3 Days Ago
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Gurugram, Haryana
Senior level
Information Technology • Software
The Role
The Manager, Data Science role involves leading advanced data analysis and visualization projects, developing dashboards, supporting ETL processes, identifying trends, mentoring junior team members, and ensuring data governance compliance. This position requires collaboration with management to define business requirements and communicate insights effectively.
Summary Generated by Built In

About the Role:
As a Senior Business Intelligence Analyst, you will engage in advanced data tasks that contribute substantially to achieving team objectives. Your analytical proficiency and adept use of visualization tools will drive insights that reveal important business trends. By collaborating with management to define opportunities and interpreting complex datasets, you help shape data-driven decision-making processes.
Responsibilities:
• Lead the development of sophisticated dashboards and scorecards.
• Conduct thorough data analyses to extract actionable insights.
• Collaborate with management to define business questions and data requirements.
• Support more complex data extraction, transformation, and loading (ETL) processes.
• Identify and interpret significant trends and patterns in large datasets.
• Provide ongoing maintenance and optimization of BI tools and reports.
• Conduct root cause analysis to uncover deeper data insights.
• Document and communicate findings and recommendations effectively.
• Mentor junior team members in data analysis and visualization techniques.
• Ensure adherence to data privacy, governance, and compliance standards.
Skills:
• Complex Data Analysis: Proficiency in conducting deeper and meaningful analyses.
• Advanced Visualization: Expertise in creating insightful visual data representations.
• ETL Processes: Skills in managing data extraction, transformation, and loading.
• Collaborative Requirement Gathering: Ability to define business requirements with management.
• Trend Analysis: Proficiency in identifying and interpreting data trends.
• Optimization: Skills in enhancing the efficiency of BI tools and reports.
• Mentorship: Ability to guide and support junior colleagues.
• Data Compliance: Strong understanding of data governance and privacy regulations.
Level criteria P3 (for internal use only):
• Requires in-depth conceptual and practical knowledge in primary job family and basic knowledge of related job families
• Has knowledge of best practices and is aware of the competition and market differentiators
• Solves complex problems; exercises judgment based on the analysis of multiple sources of information
• Works independently, receives minimal guidance; may lead projects or may have accountability for on-going activities
• Impacts a range of project activities within own team and other related teams; acts as a resource for colleagues
• Explains difficult or sensitive information; works to build consensus
• Level at which career may stabilize for many years

Top Skills

Data Analysis
Data Visualization
ETL
The Company
Hagerstown, MD
18,996 Employees
On-site Workplace

What We Do

Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.

Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.

Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).

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