Data Analyst transforming raw data into actionable insights at a growing Data team. Collaborating with various stakeholders to ensure the reliability and accuracy of data for decision - making.
About the role
- Senior Data Analyst turning data into actionable business insights. Collaborating across departments to support AI projects and enhance data integrity, while improving reporting efficiency.
Responsibilities
- Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats.
- Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality.
- Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Use BI tools to analyze data, and extract useful business insights.
- Filter and “clean” data by reviewing reports, dashboards, and performance indicators to locate and correct problems.
- Locate and define new process improvement opportunities.
- Supporting business departments and responding to their data-related requests and keeping track of these requests.
- Supporting data engineers in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Training end-users on new reports and dashboards.
- Work with management to prioritize business and information needs.
Requirements
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- At least 3 years of experience as a Data Analyst or Business Data Analyst.
- Proficiency in Python.
- Excellent in Algorithms and Data Mining techniques.
- Familiarity with database technology (design and implementation) and query language.
- Strong knowledge of and experience with BI tools (e.g. Looker, Tableau..etc) and reporting packages.
- Knowledge of statistics and experience using statistical packages and python libraries for analyzing and visualizing datasets (NumPy, SciPy, Tensorflow, Keras, Pandas, Sklearn, MatplotLib... 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.
- Strong organizational and project management skills.
- Good problem-solving skills.
- Excellent communication and presentation skills.
- Other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred
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