Senior Analytics Practitioner

Senior Analytics Practitioner

Location: Remote

Active Public trust clearance

Role Description:

As a Data Analyst, your primary responsibility will be to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations that guide organizational goals. Leveraging your expertise in data visualization in tools such as Databricks, Tableau, Power BI and MS Excel, you will create compelling visual representations of your findings and assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide.

• You will be tasked with developing detailed reports that summarize your analysis, offering clear and concise recommendations to support decision-making processes.
• You will also benefit from experience with statistical analysis software such as R or SPSS and database querying languages like SQL.
• A strong understanding of data cleaning, manipulation, and transformation processes will be essential, as will the ability to work with large datasets.
• Exposure to predictive analytics or machine learning frameworks could further enhance your ability to identify forward-looking trends and opportunities.
• You should be proficient in working within and following an agile delivery environment and software development lifecycle, including user story documentation and testing.

• As a Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions.
• Your primary responsibility will be to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations that guide organizational goals.
• Leveraging your expertise in data visualization, you will create compelling visual representations of your findings and assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide.
• Additionally, you will be tasked with developing detailed reports that summarize your analysis, offering clear and concise recommendations to support decision-making processes.

• To excel in this role, familiarity with data visualization tools such as Databricks, Tableau, Power BI, or similar platforms will be highly beneficial.
• You will also benefit from experience with statistical analysis software, database querying languages like SQL, and spreadsheet tools such as Microsoft Excel or Google Sheets.
• A strong understanding of data cleaning, manipulation, and transformation processes will be essential, as will the ability to work with large datasets.
• Exposure to predictive analytics or machine learning frameworks could further enhance your ability to identify forward-looking trends and opportunities.
• Success in this position will require a combination of technical expertise and strong communication skills.
• Experience in presenting complex data to non-technical audiences will be invaluable, as you will often collaborate with cross-functional teams and stakeholders.
• A background in business intelligence, market research, or a related field will provide a solid foundation for understanding the broader context of your analyses.
• Additionally, a proactive approach to problem-solving and a keen eye for detail will ensure that your insights are both accurate and impactful.

Responsibilities:

• Analyze data to identify trends, patterns, and insights
• Utilize data visualization tools to communicate findings
• Create reports to inform business decisions

Must have skills:

• Data Modeling
• Applied Machine Learning
• Data Visualization
• Databricks Platform