
Data Analyst
1 week ago
Job Description :
Responsibilities includes :
- Interpret data, analyst results using statistical techniques and provide ongoing work with management to prioritize business and information needs.
- Data Analysis : Analyze user data to identify trends, usage patterns, and opportunities for improving analytics features.
- Product Enhancement : Collaborate with product managers and developers to translate insights into actionable product improvements and new feature development.
- Reporting : Generate regular reports and dashboards to track product metrics and KPIs related to analytics features.
- User Feedback : Gather and synthesize user feedback to inform product decisions and prioritize feature enhancements.
- Cross-functional Collaboration : Work closely with engineering, Product, Operations teams to ensure the successful implementation of data.
- Collaborate with stakeholders to gather and understand report and dashboard requirements.
- Develop, design, and maintain Power BI reports and dashboards.
- Utilize DAX for complex calculations and data manipulation.
- Set up and manage report refresh schedules, including incremental refresh.
- Ensure data accuracy and integrity in reports and dashboards.
- Provide training and support to end-users on Power BI reports and dashboards.
- Stay updated with the latest Power BI features and best practices.
Technical Skills :
- Knowledge on Python, SQL, Power BI, DAX, PySpark, Data Modelling, ETL.
- Knowledge about Statistics & Mathematics.
- Proficiency in spreadsheets programs like Power BI Tableau / QlikView / Metabase, Excel / Google sheets.
- Ability to gather, view and analyst data.
- Skilled data visualization.
Requirements and skills :
- Proven working experience as a Data Analyst or Business Data Analyst.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Strong knowledge of and experience with reporting packages.
- Bachelor's Degree in a data related field Industrial Engineering, Statistics, Economics, Math, Computer Science, and Business etc.
- Proven experience in Power BI report development.
- Strong proficiency in DAX (Data Analysis Expressions).
- Solid understanding of SQL and database management.
- Experience with setting up report refresh schedules and incremental refresh in Power BI.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Preferred Skills and Qualifications :
- Familiarity with Microsoft Fabric and Azure Cloud concepts.
- Knowledge of Python and its application in data analysis.
- Experience with Apache Spark or other big data technologies.
- Understanding of data warehousing and ETL processes
(ref:hirist.tech)
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