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Data Analyst I
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**Purpose of the Job**:
The purpose of the Data Analyst role is to utilize organizational data assets to uncover actionable insights and trends, facilitating informed decision-making within the business. Operating within cross-functional teams, Data Analysts undertake a range of intricate data analytics projects, including modelling and scenario framing, aimed at addressing analytical challenges. By employing experimental design approaches and validating findings, they present
**Job Objectives**:
- Collaborate with stakeholders to comprehend and delineate analysis requirements, hypotheses, and questions, proposing data-driven solutions tailored to business needs.
- Partner with business, technology, and development teams to determine optimal data sources and analytical techniques for extracting pertinent business insights.
- Translate complex business requirements into actionable insights through the transformation of data into visual formats and reports.
- Develop and disseminate insightful dashboards, reports, and analytical findings, offering recommendations to enhance operational efficiency and effectiveness.
- Address intricate data queries from stakeholders, resolving issues and facilitating integration of findings to unlock valuable insights.
- Conduct thorough validation of datasets and reports, proactively addressing data integrity issues and discrepancies.
- Maintain comprehensive documentation, user guides, and training materials, ensuring consistency in language and definitions.
- Assist in collecting, cleaning, and organizing data from diverse sources, ensuring data integrity and accessibility.
- Support data repository maintenance and database management to uphold data quality standards.
- Perform basic data analysis tasks using SQL, Python, and Excel to extract insights from datasets.
- Assist in conducting data quality checks and data validation processes to ensure accuracy and reliability.
- Aid senior analysts in generating reports and visualizations to communicate analytical findings to stakeholders.
- Contribute to the development and maintenance of basic data visualizations and dashboards.
- Assist in maintaining documentation related to datasets and analysis processes.
- Contribute to ad-hoc analysis projects and tasks as assigned by senior team members.
- Stay abreast of industry trends and emerging technologies in data analytics.
**Qualifications**:
- Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems, or related field (essential).
**Experience**:
- +2 years’ experience in a data analysis role or relevant internship experience (preferred).
**Knowledge and Skills**:
- Basic knowledge of SQL, Python, and data analysis tools (essential).
- Proficiency in MS Office 365 with Excel skills (preferred).
- Strong analytical and problem-solving skills.
- Ability to work effectively in a team environment.
- Curiosity and eagerness to learn about data analysis methodologies and techniques.
**Applicant Feedback Policy**: