* Work with stakeholders to understand the business problem and the current landscape.
* Collaborate with others and analyze large, unstructured datasets to identify relevant data.
* Build advanced SQL scripts to connect data from across the data lake for analysis and validation.
* Identify data anomalies and quality issues, ensuring proper handling or flagging.
* Choose and apply appropriate analytical and statistical techniques to detect trends and forecast performance.
* Work with architecture and technical (engineering) teams to develop automated solutions for data and insights.
* Operate in an agile manner, aligning outputs with stakeholder expectations and delivering on time.
* Develop reports that clearly summarize analytical findings for stakeholders.
* Interact with various levels within the organization, from entry-level employees to senior management.
Mandatory Skills:
* Experience translating business problems into data solutions, using appropriate tools and techniques.
* Strong understanding of financial services business concepts and key metrics.
* Knowledge of mathematical and statistical concepts and their applications.
* Ability to research and report on beneficial data usage opportunities across different environments.
* Strong analytical skills, including:
* Providing observations and insights.
* Problem-solving and identifying reporting solutions proactively.
* Using data to create compelling narratives for stakeholders.
* Understanding the change management process.
Nice-to-Have Skills:
* Innovative management information tools and systems.
* Governance and compliance policies (e.g., data security and records management).
* Experience leading the development of advanced analytical scripts (SQL, Python, Impala / Hive / Snowflake).
* Undergraduate degree or A-Level in Computer Science or a related field, or equivalent work experience supported by professional certifications/licenses (including STEM fields).
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