Data And Reporting Specialist Remote

Data Reporting Specialist

Our client, a specialist Software Solutions provider, has a remote Data Reporting Specialist role.

This position will suit an experienced Data Analyst looking for career development to move into a role with data reporting responsibilities in a niche industry and specialize in data analytics in an innovative and growing business.

Good technical skills in Excel, SQL, and Power BI, or an alternate data analysis tool, and previous client-facing experience is an advantage. Exposure to the Insurance industry or Financial Services sector is a plus.

Duties & Responsibilities

Craft dynamic reports using Power BI with a focus on visual appeal and interactivity. Develop insightful data visualizations, dashboards, and reports to convey trends and insights effectively. Ensure reports are user-centric, responsive, and easily accessible. Drive data quality analysis during customer implementations, ensuring robustness. Employ advanced data analysis to pinpoint trends, patterns, and anomalies. Translate data into actionable insights and recommendations for stakeholders. Collaborate with business teams to translate analytical needs into precise report specifications. Generate comprehensive reports on data quality for stakeholders and customers. Skilfully identify, analyze, and explain anomalies within datasets. Execute data balancing, integrity checks, and validation processes. Proactively monitor and address data quality issues across customer datasets. Conduct data investigations and contribute to refining data quality policies. Offer technical customer support and actively engage in customer meetings. Participate in JAD sessions, capturing requirements accurately. Document issues, solutions, and specifications meticulously. Analyze, log, and test enhancements to the product. Assume ownership as the data quality custodian for the product. Foster team and customer expertise through proactive training. Stay current with SQL Server and Power BI advancements for optimal utilization.

Desired Experience & Qualification

Education : Bachelor's Degree in Commerce, Information Systems, Computer Science, Mathematics, Statistics, or equivalent.

Preference for Honours level or a 4-year Degree in Data Science or equivalent module.

Microsoft Certification in a data-related competency is preferable. Experience : 2-5 years in Data Analytics in a Business Intelligence environment.

Experience in an Agile BI environment and client-facing experience is an advantage.

Proficient in data queries, developing reports, interpretation of data, report writing, and presenting findings is preferable.

Experience in the non-life insurance industry would be highly advantageous.

SQL and BI experience, with Power BI being advantageous.

Skills

• MS Office (Word, Excel, PowerPoint)
• Advanced Excel skills
• Intermediate / advanced SQL skills
• Power BI proficiency

Analytical thinker with high attention to detail. Competency in working with numbers and financial figures. Problem solver with effective time management. Strong team ethic. Professional communication and interpersonal skills. Self-motivated and adaptable in a changing environment. Ability to work efficiently under pressure. Demonstrated ability to work independently and collaboratively. Proven ability to follow up and follow through on work.

Values

Applicants should demonstrate their ability to partner with us in our vision and core values, which include Striving for continuous professionalism and excellence. Uncompromising attention to detail. A dedication to independent thought and the search for new ideas. Absolute integrity. Having fun and not taking oneself too seriously. Stepping up and owning it. Going beyond and being daring. Simplifying processes. Being present.

Package & Remuneration

Provident Fund. Medical Aid. Group Life and Disability cover. Optional 13th cheque. Profit Share scheme (conditional on the scheme rules applicable at the time and date of engagement).

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