Data Analyst

About the Business 

With more than 10,000 global customers, Brightmine, formerly XpertHR, is a leading provider of people data, analytics and insight for the HR sector. We help HR leaders confidently navigate the evolving world of work through our unique combination of critical workforce data, AI-enabled technology and trusted HR expertise. At the same time, we're creating an inclusive, people-focused environment of our own. A culture where individuals with ambition, curiosity and ideas can make an impact. Where you can think big, aim high and explore more. 

About the Role 

As a Data Analyst, you will work with internal stakeholders to understand business questions, gather and analyze data, and support data-driven decision-making across the organization. 
You will use modern data tools to collate, model, interpret and visualize insights that help the business operate more effectively. 
This is a hands-on role suitable for an early-career analyst with strong analytical foundations and a passion for learning. You will work closely with senior analysts and data scientists while developing your technical and business skills. 

Key Responsibilities:

• Extract, clean, transform and validate data using SQL, PySpark, and Azure data platforms (Azure Data Warehouse, Data Lake, Databricks). 
• Build and maintain Power BI dashboards using DAX, Power Query (M) and strong data modelling practices. 
• Produce clear and concise insight summaries for stakeholders across Sales, Customer Growth, Product, Marketing and Finance. 
• Contribute to scalable, reusable reporting solutions with high standards of data quality and accuracy. 
• Translate business questions into analytical tasks and deliver meaningful outputs. 
• Present findings in simple, compelling ways tailored for non-technical audiences. 
• Support workflow improvements, automation and documentation. 
• Foster strong data governance and consistent analytical practices. 

Requirements:

• Bachelor's degree holder
• Strong SQL proficiency, including querying, filtering, joins, aggregations and working with large datasets.
• Proficiency with Power BI, including DAX, Power Query (M) and data modelling
• Advanced Excel skills (lookups, pivot tables, modelling, automation).
• Familiarity with cloud analytics environments such as Azure Data Warehouse/Synapse, Azure Data Lake, or Databricks (plus).
• Knowledge of Agile methodology and experience working in iterative, collaborative delivery cycles.
• Basic understanding of statistical concepts (e.g., trends, variance, correlations) with interest in developing further.
• Good workflow habits (documentation, structured analysis) and comfortable working in collaborative, agile environments.
• Ability to communicate insights clearly and present complex data in a user-friendly narrative.
• Strong attention to detail, analytical thinking and commitment to high data accuracy.
• Highly organised, reliable and comfortable operating in a fast-paced environment.
• Curious, proactive and eager to learn new tools, techniques and business concepts.
• Exposure to PySpark or other distributed processing tools for data manipulation will be beneficial.
• Familiarity with Tableau is a plus.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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