Data & Analytics Analyst

As a Data & Analytics Analyst at Onecom, your role will involve playing a key part in the delivery of high-quality insights, reporting, and data products from the Offshore Delivery Hub in Gurgaon during UK Shift hours. You will be responsible for building KPI analytics, maintaining BAU reporting, supporting acquisition data migrations, and enhancing data quality across the business. Your work will require strong delivery discipline, well-tested and documented outputs, and close collaboration with onshore teams to translate data into actionable insights.

**Key Responsibilities:**

• Build and maintain KPI datasets and Power BI reports to ensure reconciled, single-version-of-truth outputs
• Implement robust metric logic and ensure analytics products meet stakeholder requirements
• Run and enhance BAU Finance and Commercial reporting pipelines, including refresh schedules, data checks, incident triage, and documentation
• Support month-end reporting priorities and deliver agreed reporting packs punctually
• Assist in acquisition data migrations through profiling, cleansing, deduplication, mapping support, and validation evidence
• Generate reconciliation packs (counts, totals) and resolve defects through root-cause analysis
• Write maintainable SQL and Python with peer review, testing, and clear documentation
• Follow structured delivery processes encompassing tickets, estimates, release notes, and change control
• Contribute to enhancing engineering standards, reusability, and data quality across the hub
• Collaborate with onshore stakeholders to ensure clarity, alignment, and predictable delivery

**Qualification Required:**

• Strong hands-on experience with SQL, including advanced modelling, performance tuning, window functions, and data quality checks
• Familiarity with BigQuery and confident use of Python for data transformation, analysis, and automation
• Experience in building KPI datasets and Power BI reports with clear, accurate metric logic
• Comfortable running BAU reporting pipelines with reliability, documentation, and incident triage
• Ability to support data migrations by profiling, cleansing, deduplication, mapping, and reconciliation
• Strong communication skills to clarify requirements, share progress, and produce testable, auditable outputs
• Curiosity, collaboration, and eagerness to learn new analytics methods and technologies
• Degree (or equivalent experience) in data/analytics, computer science, engineering, or a related field

Join our award-winning team at Onecom and be part of delivering Simply Brilliant Customer Experiences through Communication Technology. Enjoy perks such as 18 days of annual leave, 6 public holidays, 7 days of casual leave, 7 days of sick leave, in-house training, and mental health support. We are committed to equity, diversity, and inclusion, and encourage candidates to complete our equality monitoring form as part of the application process. Your responses are anonymous and help inform our future initiatives. As a Data & Analytics Analyst at Onecom, your role will involve playing a key part in the delivery of high-quality insights, reporting, and data products from the Offshore Delivery Hub in Gurgaon during UK Shift hours. You will be responsible for building KPI analytics, maintaining BAU reporting, supporting acquisition data migrations, and enhancing data quality across the business. Your work will require strong delivery discipline, well-tested and documented outputs, and close collaboration with onshore teams to translate data into actionable insights.

**Key Responsibilities:**

• Build and maintain KPI datasets and Power BI reports to ensure reconciled, single-version-of-truth outputs
• Implement robust metric logic and ensure analytics products meet stakeholder requirements
• Run and enhance BAU Finance and Commercial reporting pipelines, including refresh schedules, data checks, incident triage, and documentation
• Support month-end reporting priorities and deliver agreed reporting packs punctually
• Assist in acquisition data migrations through profiling, cleansing, deduplication, mapping support, and validation evidence
• Generate reconciliation packs (counts, totals) and resolve defects through root-cause analysis
• Write maintainable SQL and Python with peer review, testing, and clear documentation
• Follow structured delivery processes encompassing tickets, estimates, release notes, and change control
• Contribute to enhancing engineering standards, reusability, and data quality across the hub
• Collaborate with onshore stakeholders to ensure clarity, alignment, and predictable delivery

**Qualification Required:**

• Strong hands-on experience with SQL, including advanced modelling, performance tuning, window functions, and data quality checks
• Familiarity with BigQuery and confident use of Python for data transformation, analysis, and automation
• Experience in building KPI datasets and Power BI reports with clear, accurate metric logic
• Comfor