Delivery Lead-Data Analytics

Job purpose

As part of the AI, Data Digital, you will be working with the data analytics, automation and reporting requirements of a US Commercial Real Estate firm as part of Acuitys Center of Excellence model.

Global technology megatrends, regulatory developments, competitive landscape and rise of alternative data are changing the way capital markets operate. At the Data and Technology services operations, we partner with some of the largest financial services firms and corporations in this transformative journey. We are looking for professionals who are hands on, passionate about the work and have the ambition to drive disruptive changes to global business models.

Key responsibilities

Partner with the client LOB teams to build curated data sets for Commercial Real Estate data.

Translate client challenges into actionable business intelligence solutions by partnering with the subject matter experts at the bank

Expertise in understanding the technical and functional designs of the databases

Acquiring proprietary data from on-prem data warehouses

Perform data preparation activities in support of analytics, reporting and automation. Develop and manage bespoke extract, transform, load (ETL) processes. Create centralized, analytical data marts across various projects to support analysis across multiple business units

Ability to transform high-level requirements into data visualizations in new technologies is a plus, which will allow business users to answer common questions and interact with data to answer more complex questions

Leverage Claude to design and develop web-based reporting and analytics applications, transforming business requirements into intuitive user experiences.

Desirable to have Python coding skills

Require excellent coding skills.

Manage data flow from major database platforms including Snowflake etc

Understand the logic of various business fields/columns and implement them

Make modifications to the logic based on user requirements. Also, undertake adhoc data requests.

Prepare on demand request on loan datatypes.

Experience in migrating reports from one platform to another platform.

Experience of understanding the framework of on-prem database structure and the related tables/views.

Maintain extract, transform, load (ETL) processes connecting data warehouses to analytical platforms

Evaluate ongoing automation of underlying manual processes

Investigate underlying data sets and derive actionable analytical insights using quantitative techniques

Study and research on the domain functionalities to add value to the analytical findings

Ensure meticulous documentation of processes, meta data, query logic, and results

Perform balance control, testing and/or other validation activities to ensure accuracy.

Ensure quality of data, analysis and reporting of the overall process

Building good rapport and trust with client

Key competencies

Over 6-9 years of relevant development experience in SQL.

Masters / Bachelors in Computer Applications / Technology, Bachelors in Engineering

Efficiently lead the client calls on a daily basis

Be proactive and independent, able to work on projects with minimum input from senior stakeholders

Evaluate and ensure quality of deliverables within defined timelines

Prior experience in the financial services domain is highly desirable.

Excellent verbal and written communication skills with a collaborative mindset.