Analytical Engineer

Job Title: Analytics EngineerJob Location: Hyderabad

Work Mode: In Office (5 Days)

Position Overview:

As an Analytics Engineer, you will be responsible for designing, developing, and maintaining data infrastructure and analytics solutions to support data-driven decision-making and reporting. You will collaborate with other internal teams such as Business Intelligence, Credit/Structuring, Operations, Legal, and other stakeholders to understand business requirements and translate them into technical solutions. You will also engage with external counterparties on data-related matters. Your role will potentially involve working with large and complex data sets, implementing data pipelines, and ensuring data accuracy, integrity, and availability.

Roles & Responsibilities:

• Develop and maintain data infrastructure: Design, build, and optimize data pipelines, ETL/ELT processes, and data warehouses to support eicient data collection, storage, and retrieval.
• Data modeling and schema design: Dene data models and schemas to enable efficient data analysis, reporting, and visualization. Ensure adherence to data governance and data quality standards.
• Data transformation and manipulation: Cleanse, transform, and aggregate data to derive meaningful insights. Identify data inconsistencies, outliers, and anomalies and implement appropriate solutions.
• Implement data analytics solutions: Collaborate with dierent company departments and external clientele to understand their requirements and develop analytics solutions that meet their needs.
• Counterparty Management: Work with external counterparties in situations such as reconciliations, data issues, additional data requests, etc.
• Documentation and communication: Document data processes, data ows, and data structures.
• Clearly communicate technical concepts and ndings to non-technical stakeholders such as
• Credit/Structuring, Operations, Legal, etc
  

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science/Analytics, or a related field.
• 2+ years of experience as an Analytical Engineer, Data Engineer, Data Analyst, Business Intelligence Engineer, or similar role
• Experience working with nance-related data sets (ex: FinTech, Lending, Financial Services, or related industries)
• Advanced SQL skills and experience working with complex data sets.
• Understanding of the following is advantageous:
  o Data modeling o Data Governance o ETL/ELT practices o Data transformations with dbt o Data warehousing with Snowflake o Cloud computing with AWS o Data orchestration tools (e.g. Airflow, Dagster) o API Usage and Integration
• Strong analytical and problem-solving skills, with the ability to transform complex data into actionable insights.
• Excellent communication and collaboration skills, with the ability to interact eectively with both technical and non-technical stakeholders.
• Strong attention to detail and a commitment to delivering high-quality work within deadlines.
• Willingness to stay updated with emerging technologies, tools, and best practices in data engineering and analytics. Ability to adapt to evolving business needs and work in a fast-paced environment.