The Power BI Analyst will design and facilitate Data Analytics, Date Interpretation and Data Visualization for the relevant Division as well as facilitating full integration of key MI data points into SAS/PowerBI including BI Risk capture in order to deliver accurate and timely MI for business performance monitoring and customer reporting. This is an exciting time to be joining the team, which is currently designing and rolling out its MI Suite. Key Responsibilities: This role will require both creative and collaborative working with IT and the wider business. It will involve evangelising effective data management practices and promoting better understanding of data and analytics. Working with the Senior Data Steward, key business stakeholders, IT experts and subject-matter experts to plan and deliver optimal analytics and data science solutions. You will be trained to analyse and verify all financial data against new entities going through the Ingestion process as well as doing regular checks on the financial reports, to confirm their veracity You will be trained to produce reporting and analysis of our current book, to allow the business to review, identify and monitor placement of insurance policies so that we are maximising the revenue/ discounting potential for the unit Drive Automation through effective metadata management: responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks. Collaborate across departments: Strong collaboration skills in order to work with varied stakeholders within the PIB Group. Work closely with the divisional data analysts to fulfil the business MI objectives. Conduct Rules and Fitness & Propriety All PIB employees are expected to conduct themselves with integrity and professionalism, placing the customer at the centre of all we do and is central to our culture. You must adhere to the FCA’s Conduct Rules set out below. Individual Conduct Rules: 1. You must act with integrity. 2. You must act with due skill, care and diligence. 3. You must be open and cooperative with the FCA, the PRA and other regulators. 4. You must pay due regard to the interests of customers and treat them fairly. 5. You must observe proper standards of market conduct. Compliance with the FCA Conduct Rules is required and will be evidenced through annual performance reviews. Fitness & Propriety You will be assessed on a regular basis in line with PIB’s requirements to ensure that you: 1. Maintain your ‘fitness’ at an appropriate level to undertake the function you perform in a sound and prudent manner at all times-this relates to your experience, knowledge, skills and professional qualifications (where appropriate) and associated CPD. 2. Maintain your ‘propriety’ at all times-this relates to good repute, honesty, integrity and financial soundness. This includes advising the firm of any changes in circumstances and conflicts of interest that could materially affect your fitness or propriety. 3. Have undertaken or are undertaking all relevant training. Compliance of Fitness & Propriety will be evidenced through PIB’s annual checks on Fitness & Propriety (e.g., financial soundness), through annual performance reviews and through completion of your Fitness & Propriety Declaration. Qualifications: Expertise in either computer science, statistics, analytics, applied mathematics, data management, information systems, information science or a related quantitative field Experience: A strong background in Analytics and Interpretation Experience working in cross-functional teams Previous experience of Data Analytics within a Commercial fast-paced environment (over 3 years) KnowledgeExperience of the following: Strong Excel Skills An understanding of the Design, build and management of data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management using MS Azure Data Factory, Azure Data Lake Storage and Azure Data Bricks, Power BI, Tableau, QlikView Experience working with: Data discovery, analytics and BI software tools like SAS, Power BI, Tableau, QlikView Experience working with: Database programming languages including Power BI and SQL for relational databases. Skills: Required to be creative and collaborative. An ideal candidate would be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. Regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production. Is a confident, energetic self-starter, with strong interpersonal skills. Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity. Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹400,000.00 per year Benefits: Health insurance Paid sick time Paid time off Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Must have:  3 to 5 years of professional experience as a data engineer and 1+ years of professional experience as a senior data engineer  Must have strong working experience in Python and its various data analysis packages – Pandas / NumPy  Must have strong understanding of prevalent cloud ecosystems and experience in one of the cloud platforms – AWS / Azure / GCP.  Must have strong working experience in one of the leading MPP Databases – Snowflake / Amazon Redshift / Azure Synapse / Google Big Query  Must have strong working experience in one of the leading data orchestration tools in cloud – Azure Data Factory / Amazon Glue / Apache Airflow  Must have experience working with Agile methodologies, Test Driven Development, and implementing CI/CD pipelines using one of leading services – GITLab / Azure DevOps / Jenkins / AWS Code Pipeline / Google Cloud Build  Must have Data Governance / Data Management / Data Quality project implementation experience  Must have experience in big data processing using Spark  Must have strong experience with SQL databases (SQL Server, Oracle, Postgres etc.)  Must have stakeholder management experience and very good communication skills  Must have working experience on end-to-end project delivery including requirement gathering, design, development, testing, deployment, and warranty support  Must have working experience with various testing levels, such as, unit testing, integration testing and system testing  Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures Nice to have:  Working experience in DataBricks notebooks and managing DataBricks clusters  Experience in Data Modelling tool such as Erwin or ER Studio  Experience in one of the data architectures, such as Data Mesh or Data Fabric  Has handled real time data or near real time data  Experience in one of the leading Reporting & analysis tools, such as Power BI, Qlik, Tableau or Amazon Quick Sight  Working experience with API integration  General insurance / banking / finance domain understanding Job Types: Full-time, Permanent Pay: ₹671,754.20 - ₹1,526,127.93 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Yearly bonus Work Location: In person