Join a dynamic team as a Data Analyst in Pune, India. Leverage advanced SQL skills and strong analytical abilities to drive data-driven decisions in the gaming industry. Ideal for candidates with 3+ years of experience in data analysis.
Job Details
| Job Title | Data Analyst |
|---|---|
| Location | Pune, India |
| Industry | Engineering and Technology (Gaming) |
| Experience | 3+ years in Data Analysis |
| Job Type | Full-time, Individual Contributor |
| Education | Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field |
| Working Hours | Regular business hours |
| Preferred Experience | Gaming industry experience is a plus |
About the Role
The Data Analyst role focuses on delivering data solutions for business teams. In this individual contributor position, you will be responsible for data extraction, analysis, and visualization, collaborating closely with the Game Engineering team to ensure accurate data capture for live game operations. Your insights will guide problem-solving and decision-making in real-time game environments.
Key Responsibilities
- Data Extraction & Analysis: Deliver timely data requests and perform deep-dive analysis into business problems raised by different teams.
- Data Solutions & Visualization: Provide data solutions and actionable insights, using visualization tools to communicate findings effectively.
- Problem Solving: Facilitate the problem-solving process by suggesting hypotheses and corresponding data solutions.
- Collaboration with Game Engineering: Work closely with the Game Engineering team to ensure that data is captured accurately in backend systems.
- Best Practices: Advise on best practices for data extraction methods.
Job Requirements
Education & Qualifications
- Bachelor’s degree in Computer Sciences, Computer Engineering, Mathematics, Statistics, or a related field from a reputable university.
Experience
- 3+ years of experience in data analysis with a strong proficiency in SQL.
- Experience in the gaming industry is preferred but not required.
- Hands-on experience working on 1-2 live projects, preferably in a game studio, with a deep understanding of data requirements for live game operations.
Skills
- Advanced SQL proficiency, with a focus on data extraction and analysis.
- Strong analytical skills to derive actionable insights from complex datasets.
- Experience with data visualization tools to present data-driven insights.
- Ability to work with cross-functional teams, especially in a gaming or interactive media environment.
Desired Attributes
- A strong ability to think analytically and solve complex business problems using data.
- Strong communication skills to present insights and recommendations effectively to non-technical stakeholders.
- Self-motivated with the ability to work independently and as part of a team.
Why Apply?
This role provides a unique opportunity to use data analysis in the exciting and fast-paced world of gaming. If you’re passionate about gaming, enjoy solving data problems, and want to work in a collaborative environment, this could be the perfect fit for you.
To prepare for the Data Analyst role, here’s a step-by-step guide:
1. Understand the Job Role and Responsibilities
- Core Tasks:
- Data Requests: Deliver timely data extraction, analysis, solutions, and visualization.
- Best Practices: Advise on data extraction methods.
- Data Analysis: Perform deep-dive analysis on problems raised by business teams.
- Problem Solving: Suggest hypotheses and corresponding data solutions.
- Collaboration with Game Engineering: Ensure accurate data capture in backend systems.
2. Required Skills and Knowledge
- Data Extraction & Analysis:
- Strong proficiency in SQL to extract, manipulate, and analyze data from relational databases.
- Experience with data solutions and visualization tools (e.g., Power BI, Tableau, or similar).
- Analytical Skills:
- Ability to turn raw data into actionable insights. Practice working on real-world business problems and deriving data-driven solutions.
- Gaming Industry Experience (optional but a plus):
- Familiarize yourself with the data needs of live game operations, such as player behavior tracking, game performance metrics, and backend data storage.
- If you don’t have direct experience in gaming, study how game analytics works, such as user retention, engagement, revenue metrics, and game session data.
- Deep-Dive Analysis: Learn how to perform complex analyses on large datasets. Work on case studies where you identify patterns or trends and provide actionable insights.
3. Technical Skills Preparation
- Advanced SQL: Make sure you are comfortable with advanced SQL concepts such as:
- Joins, Subqueries, and Window Functions
- Data Aggregation and Grouping
- Complex Data Manipulations
- Data Visualization:
- Brush up on your data visualization skills using tools like Tableau, Power BI, or Looker.
- Be able to design intuitive and interactive dashboards that display key performance metrics.
- Python or R (optional): While SQL is the primary tool, knowledge of Python (with pandas) or R can help for more complex data wrangling or analysis tasks.
4. Domain-Specific Knowledge (Gaming Industry)
- Game Data: Learn about the typical metrics and KPIs for games, such as:
- Player retention: How long do players stay engaged with a game after installing it?
- In-game purchases: Tracking purchases, revenue, and monetization trends.
- Engagement: Active players, session lengths, player churn.
- Live Game Operations: Study how live data collection is done in the gaming industry. Focus on backend systems where game data is captured, stored, and analyzed in real time.
5. Behavioral and Soft Skills Preparation
- Problem Solving: Be prepared to discuss how you approach problems and turn data into actionable solutions.
- Communication: Since this is an individual contributor role, you’ll need strong communication skills to convey your findings to business teams and stakeholders.
- Collaboration: Be ready to talk about how you work with other teams, especially game engineers, to ensure data accuracy and proper system setup.
6. Real-World Projects
- If you have worked on any live projects, particularly in the gaming industry, prepare to talk about:
- The challenges you faced while working on data extraction and analysis.
- The impact your insights had on the business or project.
- How you helped improve data quality and data-driven decision-making.
- If you don’t have direct gaming experience, consider creating a personal project where you analyze game-related data (perhaps from open-source game datasets or simulation projects).
7. Interview Preparation
- Technical Round: Expect to solve SQL problems and possibly work with a dataset to demonstrate your analytical and problem-solving skills. You may also be asked to create a dashboard or visualization for a given scenario.
- Behavioral Round: Prepare examples that showcase your problem-solving skills, ability to work under pressure, and collaboration with cross-functional teams.
8. Key Terms to Brush Up On
- Data Warehousing: Know the basics of data storage and querying large datasets.
- ETL Processes: Understand how data is Extracted, Transformed, and Loaded into databases.
- Real-Time Data: Be aware of the challenges and methodologies for working with real-time data in gaming environments.
By focusing on these areas, you’ll be well-prepared for the Data Analyst position!
