Data Insights Specialist
6 days ago
USP Digital Private Limited is seeking a skilled Data Analyst to join our team. This role requires expertise in data extraction, organization analysis, and presentation, focusing on user acquisition, registration, deposits, user engagement, and retention.
The ideal candidate will leverage technical expertise to ensure data accuracy, quality, and organization, driving meaningful insights that inform business decisions.
Main Responsibilities:
- Data Extraction and Management
Utilize automated tools and SQL queries to extract data from primary and secondary sources; identify, clean, and correct corrupted data, coding errors, and other data quality issues; develop, maintain, and reorganize data systems and databases to ensure readability and accessibility.
- Data Analysis and Quality Assessment
Conduct analysis to evaluate data quality and extract meaningful insights; apply statistical tools to interpret complex data sets, identifying trends and patterns valuable for business diagnostics and forecasting; filter data and review performance indicators, addressing code and data problems as needed.
- Trend Analysis and Reporting
Use statistical analysis to assign numerical values to key business functions, allowing assessment and comparison of business performance over time; analyze local, national, and global industry trends, with implications for the business and its competitive environment; prepare reports for management, summarizing key trends, patterns, and predictions using relevant data.
- Collaboration and Strategy Development
Work closely with programmers, engineers, and management to identify process improvement opportunities and system modifications; develop and implement data governance strategies; provide stakeholders with clear analysis reports and data-driven recommendations for decision-making.
Required Skills and Qualifications:
A Bachelor's degree in a relevant field (an MBA is a plus); 3+ years of relevant experience in data analysis; proficiency in data cleaning and preparation, including error removal, outlier identification, and data transformation; strong statistical skills with knowledge of tests and tools, such as mean, median, variance, standard deviation, correlation, regression, and hypothesis testing; proficiency in programming languages such as R and Python; expertise in SQL for data extraction and knowledge of database systems like MySQL, PostgreSQL, Oracle, or MS SQL; experience creating interactive dashboards and reports using tools like Tableau, Power BI, and Microsoft Word.
We Offer:
A competitive salary range of $80,000 - $120,000 per year, depending on experience and qualifications.
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