We are seeking a highly analytical and detail-oriented Data Analyst to join our team.
- The ideal candidate will have a strong background in statistical analysis, data mining, and data visualization techniques.
- The Data Analyst will be responsible for interpreting data, analyzing results, and providing actionable insights to drive business decisions.
- This role requires proficiency in SQL, Python/R, and data visualization tools like Tableau or Power BI.
- The Data Analyst will collaborate closely with crossfunctional teams to identify opportunities for process improvement and develop data-driven solutions to meet business objectives.
Key Responsibilities:
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work closely with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Collaborate with cross-functional teams to develop data-driven solutions.
- Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and data quality.
- Develop and maintain key performance indicators (KPIs) and dashboards to track business performance.
- Design and develop data visualizations and reports using tools such as Tableau, Power BI, or similar.
- Present findings and insights to stakeholders in a clear and concise manner.
- Stay current with industry trends and advancements in data analytics techniques and tools.
- Perform ad-hoc analysis and present results in a clear and concise manner.
Qualifications:
- Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Information Management, or related field.
- Master's degree preferred.
- Proven working experience as a Data Analyst or Business Data Analyst.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages (Business Objects, Power BI, Tableau, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks).
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Excellent communication and presentation skills.
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