Junior Data Analyst/ Specialist

Title: Junior Data Analyst/Scientist

Reports to: Data Lead

Level and band: Junior (R15 000 - R28 000)

Location: Johannesburg

Role overview:

A Junior Data Analyst/Scientist is responsible for leading data-driven decision-making processes within internal and client marketing teams. This role involves analysing large datasets to identify trends, measure performance, and provide actionable insights that inform marketing strategies. The analyst uses advanced statistical techniques, predictive modelling, and data visualisation tools to evaluate the effectiveness of campaigns, optimise marketing spend, and improve customer targeting. They work closely with cross-functional teams, including marketing, sales, and product development, to align data insights with business goals.

In addition to technical expertise, the Jnr Data Analyst/Scientist plays an assistive role, advising senior analysts and clients on market opportunities and potential risks. They are responsible for ensuring data accuracy and integrity, developing dashboards and reports, and staying up-to-date with the latest trends in data analytics and marketing technology. Strong communication skills are essential, as they must be able to translate complex data findings into clear, actionable recommendations for non-technical stakeholders.

One of the key performance indicators of this role is becoming proficient in each of the requirements of becoming a Data Analyst/Scientist

About Flume:

Flume Digital Marketing is an independent, full-service digital marketing agency based in Johannesburg, Cape Town, and Amsterdam. Our team is made up of passionate professionals dedicated to delivering extraordinary results through our six MATTER values: Mentorship, Audacity, Thrive, Integrity, Excellence, and Respect.

Key responsibilities:

Data Collection and Analysis

• Assist in gathering, cleaning, and organizing data from various sources to ensure accuracy and completeness for analysis.
• Perform basic data analysis using statistical methods under the guidance of senior team members.
• Help identify trends, patterns, and insights in data to answer business questions.
• Develop a foundational understanding of programming languages such as SQL, Python, or R for data manipulation.
• Support the team in troubleshooting data quality issues and discrepancies.
• Learn and apply data modeling techniques to prepare data for reporting.
• Attend internal meetings to understand data requirements and project goals.

Team Collaboration and Support

• Contribute to the development of basic reports and dashboards to visualize data findings.
• Work closely with senior data analysts to support their projects and larger analyses.
• Assist in the documentation of data processes, report logic, and key findings.
• Collaborate with cross-functional teams to ensure data is used effectively and consistently across the organization.
• Participate in team discussions to share observations and learn from feedback.
• Help maintain and update data sets and databases.

Reporting and Communication

• Assist in the preparation of regular and ad-hoc reports to communicate key metrics to stakeholders.
• Create charts, graphs, and simple dashboards to present data findings clearly.
• Learn how to summarize data insights in a way that is understandable for both technical and non-technical audiences.
• Present simple findings or updates to the team during internal meetings.
• Take detailed notes during client and stakeholder meetings to ensure data requirements are fully captured.

Foundational Knowledge and Learning

• Stay up-to-date with industry best practices, tools, and methodologies in data analysis.
• Continuously expand knowledge of data visualization tools like Tableau or Power BI.
• Practice and improve proficiency in key tools like Microsoft Excel and SQL.
• Actively seek opportunities to learn new analytical techniques and statistical methods.
• Develop a keen eye for detail to ensure the accuracy and integrity of all data.

Qualifications and experience:

• Degree, Specialist Certifications or Diplomas: Bsc or related degree, Mathematics/Statistics, Business Administration, or a related field.
• Data Certifications: While not mandatory, certifications like Google Analytics Individual Qualification (GAIQ), or Python, R-studio or other related certifications can demonstrate expertise.
• Minimum of 6 months + of experience in, with a proven track record.
• Deep understanding of data principles, including collection, api environments, visualisation platforms and data collation
• Strong analytical skills to interpret data and make data-driven decisions.
• Excellent communication and interpersonal skills to effectively collaborate with team members and clients.

Skills and requirements:

• Technical ability: Code creation and troubleshooting
• Data Analysis: Skill in analysing data to identify trends and opportunities.

Why join us?

A collaborative and creative work environment, opportunities for professional growth and that we believe in fostering a culture of continuous learning and development, providing our employees with opportunities to advance their careers within our organisation., competitive salary and benefits package.

Flume Digital Marketing is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.