ETIC, Data Analyst Senior Associate

Job Description & Summary

You will work on multiple concurrent, digital assets and accelerators alongside out experienced Alt-Data, Tech Cell and Digital Assets development teams.

Responsibilities To Include

▪ Assist in the maintenance and BAU development of our digital assets, such as the Customer Analytics Platform and

Annualised Recurring Revenue (ARR) Accelerator.

▪ Following best practices, create and maintain accompanying documentation to support end user experience, e.g. user

guides

▪ Run processes using Alteryx, Power BI, Python, SQL and Databricks to extract and analyse data, including third party

("Alternative") data and webscraping to collect new data.

▪ Support the continued delivery of our Alt-Data managed services solutions, ensuring a continued service for our clients

▪ You will champion high data quality standards and proactively seek out any data quality issues so that clients and delivery

teams have high confidence in the data and analyses presented.

▪ Process client data and run it through our digital assets, for example, the Customer Analytics Platform and ARR Accelerator

as part of client project setup and periodic (eg weekly, monthly, ad hoc) refreshing of client data where we are using our digital

assets.

▪ Develop your network and build strong relationships with members of the DIA Alt Data and Tech Cell teams.

Must Have

You will play a key role in growing the DIA managed services, by running processes, refreshing data and performing timely and insightful analysis. Over time, there is the opportunity to grow the role into more asset development and we will be investing in you to upskill, undergo training, and further develop your capabilities in our technology stack whilst you help us to maintain and expand our technology solutions.

▪ Able to understand complex problems and find ways to solve unique

technical challenges

▪ Significant Experience connecting disparate sources of Data, structuring

and cleansing it using Data manipulation tools (e.g. Alteryx, SQL, Python)

▪ Experienced with data collection (e.g. webscraping)

▪ Experience dealing with extracting data from APIs and Webscraping

▪ Understanding of common data quality issues and the impact they have on

our work, data cleansing and manipulation

▪ Skills listed will be used to run both internal and external engagements

▪ Knowledge of commercial deals experience, e.g. product, revenue & product analytics is desirable. Where gaps in knowledge exist individuals will be upskilled by the DIA team

▪ 3+ years of experience in cloud infrastructure

▪ Multiple years experience working in Databricks & pyspark

▪ Experience dealing with large volume, complex datasets

▪ Understanding of common data quality issues and common approaches to managing and controlling data quality

▪ Experience of hands on delivery of Azure & AWS Data Solutions

▪ Experience dealing with extracting data from APIs and Webscraping

▪ Experience with Database Modelling and ETL design

▪ Have an understanding of Gen-AI & AI co-pilots

▪ Experience of Technology Solutions development in complex environments

▪ Knowledge of commercial deals experience, e.g. product, revenue & product analytics is desirable. Where gaps in knowledge exist individuals will be upskilled by the DIA team

Education (if blank, degree and/or field of study not specified)

Degrees/Field Of Study Required

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)