We're seeking a Data Analyst to join our small data
function as we continue our adoption of modern data tools across the
business.
Following our own acquisition by Anderson Global
and merger with another of their recent acquisitions, we've been
focusing on systems integration and the migration from legacy
systems and manual processes to a modern data toolset. We're
implementing the pipeline, warehouse and BI tools to introduce
higher levels of automation, quality control, governance, and
self-service reporting across the business. We're looking to expand
the team to help maintain the pace of those developments.
This is an opportunity to work across the
implementation of an entire analytics stack, working closely with
teams across the business: with the Engineering team developing our
in-house platform, automating regulatory submissions for Compliance,
and improving the efficiency of our Operations teams by providing BI
tools to automate, and provide insight into, their processes.
This would be a great role for someone ready to
step up from a junior position, or for someone from a larger, siloed
team looking to broaden their experience across end-to-end data
pipeline tools.
The Role & Responsibilities:
- Handling data
requests: Respond to inbound request tickets from team
members to help answer questions and maintain data
integrity.
- dbt contributions: Make contributions to the
models, tests and documentation within the developing dbt
project which manages our data pipeline.
- Business Intelligence development: Develop
tools and dashboards for teams and managers within our BI
platform (Hex) to provide impactful insight and automated
reporting.
- Regulatory reporting: Support in the generation
and automation of required reports for regulatory bodies.
- Operating the data stack tools: Support the
implementation administration of the data team tools: user
management, governance, optimisation, adoption of best practices
and new features.
- Ad-hoc investigations and projects: Undertake
investigations or projects such as client data migrations, data
quality initiatives, or management reporting.
- Migration from legacy tools and spreadsheets:
Support the migration from our legacy systems, and the
integration with other group systems as required.
- Data governance and security: Support in
developing and maintaining high levels of quality control, data
governance and business confidence in our data.
Other Expectations
- Cultivate and maintain a client/customer
centric culture through the way you work and the service you
provide
- Embrace change and continuously improve the
work we do and the way we do it
- Assume ownership of the tasks and
responsibilities you are assigned
- Work closely with and support your colleagues
to collectively achieve success
- Capacity to adjust to changing requirements and
priorities
Requirements
The Right Person:
- Solid experience with SQL, Excel.
- Experience with tools and tech used in our
stack: dbt (Cloud), BigQuery, Hex, Fivetran, Postgres, git. (or
equivalent)
- Experience delivering impactful dashboards and
data-tools.
- Able to work autonomously, with good
communication and stakeholder management skills.
- Strong attention to detail & curiosity.
They’ll instinctively build strong understandings of systems and
problems, following leads and pulling on threads in
investigations to appreciate the underlying issues and
data.
- Team-player with a friendly, supportive,
positive, can-do attitude
- Strong English language skills
Nice-to-haves:
- Experience of productive use of AI agents:
leveraging them to improve your reach and productivity, without
diminishing your understanding.
- Experience working in a regulated
industry.
- Experience working with, developing,
or defining data models, schema, metrics and semantic
layers.
- Appreciation of good practices across
data protection, security, data privacy.
- Experience with Python.
