Remote Data Analyst | 7 years up Experience

Employment type: Full Time
Experience: 7 years up
Salary: ₹8 Lpa to 15 Lpa yearly
Location: Remote

*Job Description:**

We are seeking a skilled and dedicated Data Analyst / Reporting Engineer to join our dynamic team. The ideal candidate will have a strong background in data analysis and reporting, with a proven ability to transform complex data into actionable insights. If you are passionate about data and are looking to leverage your skills in a collaborative environment, we encourage you to apply.

**Key Responsibilities:**

– Analyze large datasets to identify trends and patterns, providing actionable insights to stakeholders.

– Develop and maintain reports and dashboards using Power BI that effectively communicate findings to business teams.

– Write complex SQL queries to extract, manipulate, and analyze data from relational databases.

– Collaborate with cross-functional teams to understand data requirements and deliver key performance indicators (KPIs).

– Automate reporting processes and improve data quality and integrity through robust data management practices.

– Present findings in a clear and concise manner to both technical and non-technical audiences.

– Provide support and training to team members on data analysis tools and best practices.

**Required Skills:**

– Proficiency in SQL for data extraction and manipulation.

– Strong expertise in Power BI for creating interactive reports and dashboards.

– Advanced knowledge of Excel for data analysis and reporting tasks.

– Experience in data analysis, with a proven record of generating insights that drive business decisions.

**Desired Skills:**

– Familiarity with statistical analysis tools and techniques.

– Knowledge of data visualization best practices.

– Strong problem-solving capabilities and analytical thinking.

– Excellent communication and presentation skills.

**Experience Requirements:**

– Minimum of 7 years and a maximum of 10 years of experience in data analysis or reporting.

**Educational Qualifications:**

– Bachelor’s degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field.

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