Analytical Engineer
1 week ago
Job Title: Analytics Engineer
Job 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.
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