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Senior Data Analyst

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A fast-growing finance and technology company based in Stellenbosch is seeking a Senior Data Analyst to join their business operations.

Reporting to the Chief Data Officer, the successful candidate will play a critical role in driving data-driven decision-making processes within the organisation. This position involves data collection, cleaning, and analysis, as well as presenting actionable insights to key stakeholders to optimise business processes and enhance performance.

As a Senior Data Analyst, you will engage in complex data analysis, create insightful visualisations, and collaborate closely with stakeholders to meet their analytical needs. Your contributions will be pivotal in improving operational efficiency and driving growth. The company is supported by experienced shareholders and a board with vast expertise in entrepreneurship and lending, making it an exciting place to grow your career.

Success in this role looks like the ability to efficiently handle large datasets, produce clear and actionable insights, and support various business initiatives through robust data analysis. Key performance indicators include the accuracy and relevance of data insights, the effectiveness of visualisations in communicating findings, and the tangible impact of data-driven decisions on business performance.

Key qualifications for the Senior Data Analyst:

  • Bachelor’s or master’s degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science)
  • 3+ years minimum of experience as a Data Analyst
  • Proficiency in data analysis tools such as GCP, Google BigQuery, SAS, SQL, Python, and R
  • Experience with data visualisation tools, particularly Google Looker
  • Experience with statistical analysis techniques and data modelling
  • Familiarity with data governance principles and best practices preferred
  • Knowledge of data privacy regulations and compliance standards is a plus

Key duties for the Senior Data Analyst include but is not limited to:

Data Collection and Cleaning:

  • Collect, extract, and compile data from various sources, ensuring data accuracy and completeness
  • Clean and transform raw data into structured datasets for analysis
  • Identify and resolve data quality issues, inconsistencies, and anomalies
  • Employ SQL, SAS, Python, and Big Query, staying abreast of data analytics advancements

Data Analysis and Interpretation:

  • Perform exploratory data analysis to identify trends, patterns, and relationships within the data
  • Apply statistical techniques and data visualisation methods to interpret and present findings
  • Analyse large and complex datasets to derive actionable insights and recommendations
  • Collaborate with stakeholders to understand business requirements and translate them into analytical approaches

Reporting and Visualisation:

  • Create visualisations, dashboards, and reports to effectively communicate data insights to stakeholders with the help of Google Looker
  • Develop and maintain standardised reporting templates and data visualisation tools
  • Present findings in a clear and concise manner, tailoring the information to the audience's needs

Data-driven Decision Making:

  • Collaborate with cross-functional teams to support data-driven decision-making processes
  • Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking
  • Identify opportunities for process improvement, operational efficiencies, and revenue optimisation based on data analysis

Data Governance and Security:

  • Ensure compliance with data governance policies, data protection regulations, and security protocols
  • Adhere to data privacy and confidentiality standards when handling sensitive information
  • Contribute to the development and maintenance of data dictionaries and data documentation

Continuous Learning and Development:

  • Stay updated with industry trends, best practices, and emerging technologies in data analysis
  • Expand knowledge of statistical analysis techniques, data modelling, and data visualisation tools
  • Participate in training programs, workshops, and professional development opportunities

Key personal skills for the successful Senior Data Analyst:

  • Strong analytical and problem-solving abilities
  • Excellent attention to detail
  • Effective communication and presentation skills
  • Ability to work independently and collaboratively in a team
  • Adaptability and willingness to learn

If you are passionate about leveraging data to drive business success and have strong experience in data analysis, please get in touch to learn more.

Contract Type: FULL_TIME

Specialism: Banking & Financial Services

Focus: Quantitative

Industry: Financial Services

Salary: Negotiable

Workplace Type: Hybrid

Location: Stellenbosch

Job Reference: KBATQ2-08316540

Date posted: 24 May 2024

Consultant: Ashleigh Cloete

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