Data Analytics Manager

14 Hours ago • All levels

Job Summary

Job Description

As the Data Analytics Manager, you will lead initiatives to understand how player support experiences impact broader player behaviors like game engagement, retention, and purchasing. You will translate complex data into actionable insights using tools like SQL, Excel, and business intelligence platforms, while guiding a team of analysts and working closely with cross-functional stakeholders. Responsibilities include leading data-driven insight generation, stakeholder collaboration, team leadership and mentoring, improving reporting infrastructure, ensuring data quality and accessibility, and championing data literacy.

Must have:

Proficiency in SQL and experience with relational databases or cloud data platforms.
Experience with BI tools such as Tableau, Power BI, Looker, or similar.
Advanced Excel skills including pivot tables, charts, and statistical functions.
Experience using data to solve business problems and influence stakeholders.
Excellent communication and storytelling skills to present complex findings clearly.

13 skills required

13 skills required for this role

Add these skills to join the top 1% applicants for this job

looker

sql

tableau

power-bi

data-analytics

business-intelligence

salesforce

excel

communication

business-analysis

storytelling

cross-functional

team-management

Job Details

We’re looking for a strategic and results-oriented Data Analytics Manager to lead insights and decision support within our CRC (Customer Relationship Center) Analytics team. This role is ideal for someone with a strong background in data analysis, business intelligence, and stakeholder management—who is confident using data to influence outcomes.

As the Analytics Manager, you will lead initiatives to understand how player support experiences impact broader player behaviors—such as game engagement, retention, and purchasing. You’ll translate complex data into actionable insights using tools like SQL, Excel, and business intelligence platforms, while guiding a team of analysts and working closely with cross-functional stakeholders.

Key Responsibilities

Lead Data-Driven Insight Generation: Use advanced querying, dashboards, and reporting to uncover trends and inform decision-making around player support and customer experience.
Stakeholder Collaboration: Partner with business, operations, and leadership teams to align analytics initiatives with organizational priorities and to guide decision-making through data.
Team Leadership & Mentoring: Support a team of analysts, encouraging development, fostering best practices, and aligning analytics output to business impact.
Improve Reporting Infrastructure: Enhance and standardize dashboards and reports using BI tools like Tableau, Power BI, or Looker to ensure clarity, accessibility, and relevance.
Ensure Data Quality & Accessibility: Work with data engineering and operations teams to maintain data accuracy, documentation, and governance standards.
Champion Data Literacy: Help stakeholders interpret results, understand key metrics, and make confident, data-informed decisions.

QUALIFICATIONS

Required Qualifications & Skills

Bachelor’s degree in a relevant field (e.g., Business Analytics, Statistics, Economics, Management Information Systems), or equivalent experience.
Strong proficiency in SQL and experience working with relational databases or cloud data platforms.
Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar.
Advanced Excel skills including pivot tables, charts, and statistical functions.
Proven experience using data to solve business problems and influence stakeholders at different levels.
Excellent communication and storytelling skills; able to present complex findings in a clear and actionable way.
Demonstrated experience managing or mentoring analysts or cross-functional teams.
Strong analytical mindset with a focus on accuracy, detail, and continuous improvement.

Preferred Qualifications

Experience with CRM platforms like Salesforce or Zendesk and understanding of support operations data.
Exposure to statistical or predictive modeling techniques (even if conducted by others).
Experience coordinating with technical teams (data engineers, data scientists) to define requirements or interpret results.
Interest in or knowledge of the video game or entertainment industry is a plus.