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A specialist recruitment agency is seeking a Data Reporting Specialist for remote work. This role involves crafting dynamic reports, ensuring data quality, and translating data into insights for stakeholders. Candidates should have a degree in Commerce or a related field, 2-5 years in data analytics, and strong skills in Power BI and SQL.
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.
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.
Profit Share scheme (conditional on the scheme rules applicable at the time and date of engagement)