Salary: R40 000-R60 000
Location: Gauteng, South Africa, remote!!
Key Performance Areas:
Objectives of this role
- Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes.
- Help streamline our data science and analytics workflows by improving data delivery and quality to internal and external stakeholders.
- Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
- Be an advocate for best practices and continued learning, constantly challenging the status quo and striving for excellence.
- Work closely with our development team, data analysts and BI analysts to help build and maintain data flows that support our reporting requirements.
- Use agile software development processes to make iterative improvements to our back-end systems, particularly our reporting DB.
- Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis.
- Build data pipelines that clean, transform, and aggregate data from disparate sources and deliver quality usable data to data analysts and BI analysts for reporting.
- Develop models that can be used to make predictions and answer questions for the overall business.
- Gathering/Extracting data from the database for analysis.
- Cleaning and preparation of data for analysis.
- Quality controlling our data processeses and tables.
- Identify, analyse, and interpretation of market data for clients.
- Producing accurate BI reports & Dashboards, within agreed upon timeframes, which are:
- Data valuable
- Understandable to both a technical and non-technical audience
- Insightful and supports quality decision making for internal and external stakeholders
- Create project tracking reporting for all stakeholders.
- Setting up processes and systems to make working with data more efficient.
- Exploring and interpreting data to identify trends and opportunities for business improvement.
- Identifying data shortcomings and alerts within campaigns to drive proactive responses.
- Provide recommendations on campaign performance improvements, based on client data and industry standards.
- Researching new ways to make use of data, to improve business performance.
- Managing the team to ensure that quality deliverables are produced timeously.
- Responding timeously to data-related requests and queries and keeping track of all requests.
- Collaborating with key stakeholders on all aspects of report creation, incl. deadlines, deliverables, edits, recommendations.
- Scoping out the required data models required to drive efficiency with stakeholder buy-in.
- Attending meetings with internal & external stakeholders to ensure understanding of the project data and requirements.
- Presenting information and communicating findings generated from data to stakeholders, suited to a technical and non-technical audience.
- Bachelors degree in computer science, information technology, engineering, or related analytical discipline required.
- Three or more years of experience with Python, SQL, and data visualization/exploration tools (PowerBI, Tableau etc).
- Familiarity with common python based ETL tools such as PySpark or Apache Airflow.
- Familiarity with Kimball & Inmon data warehousing approaches.
- Familiarity with the AWS ecosystem, specifically Redshift, RDS & EC2.
- Familiarity with PostgreSQL preferred.
- Communication skills, especially for explaining technical concepts to nontechnical business leaders.
- Ability to work on a dynamic, results-oriented team that has concurrent projects and priorities.
