This
position
is
listed
on
behalf
of
a
partner
company,
who
manages
all
applications
and
next
steps.
Our
partner
is
looking
for
a
Data
Analyst,
Regulatory
Analytics
and
Reporting
based
in
Canada
.
Join
a
global
financial
technology
environment
where
data
analytics
plays
a
critical
role
in
regulatory
compliance,
risk
management,
and
strategic
decision-making.
In
this
role,
you
will
transform
complex
compliance
data
into
reliable
insights
that
support
regulatory
reporting
and
business
objectives.
You
will
work
at
the
intersection
of
data
analytics,
engineering,
and
compliance
operations,
ensuring
accuracy,
transparency,
and
audit
readiness.
By
developing
scalable
data
models,
automated
workflows,
and
insightful
dashboards,
you
will
help
streamline
processes
and
reduce
operational
risk.
You
will
collaborate
closely
with
compliance
specialists,
engineers,
analysts,
and
senior
leadership
to
address
complex
regulatory
challenges.
This
is
an
opportunity
to
apply
your
technical
expertise
and
regulatory
knowledge
in
a
fast-evolving
digital
asset
industry.
Accountabilities
Develop
regulatory
reporting
and
dashboards:
Design,
build,
and
maintain
dashboards,
compliance
metrics,
and
regulatory
reports
that
deliver
actionable
insights
to
stakeholders,
regional
compliance
officers,
and
senior
leadership.
Automate
compliance
processes:
Create
end-to-end
data
solutions,
governance
controls,
and
automated
workflows
that
improve
operational
efficiency,
reduce
manual
intervention,
and
minimize
human
error.
Build
scalable
data
models:
Analyze
large
and
complex
datasets
and
transform
findings
into
reliable,
well-documented,
audit-ready
data
models
that
support
regulatory
reporting
and
business
analytics.
Develop
data
pipelines:
Translate
regulatory
and
business
requirements
into
accurate
reports
and
automated
data
workflows
using
SQL,
Python,
dbt,
Airflow,
and
related
technologies.
Collaborate
across
teams:
Lead
and
contribute
to
cross-functional
initiatives
involving
data
analysts,
data
engineers,
and
compliance
teams
to
develop
and
maintain
high-quality
data
sources
and
pipelines.
Monitor
data
quality:
Identify
data
inconsistencies,
investigate
issues,
coordinate
remediation
efforts,
and
work
with
responsible
teams
to
ensure
timely
resolution.
Support
audits
and
regulatory
reviews:
Provide
accurate
and
timely
data
for
audits,
regulatory
examinations,
risk
assessments,
and
day-to-day
compliance
operations.
Communicate
actionable
insights:
Present
analytical
findings
through
clear,
data-driven
storytelling
that
helps
stakeholders
understand
regulatory
risks,
evaluate
performance,
and
make
informed
decisions.
Requirements
Professional
experience:
At
least
5
years
of
experience
in
data
analysis
and
data
management
within
financial
services
or
another
regulated
industry,
including
hands-on
work
with
compliance
analytics
and
regulatory
reporting.
Regulatory
knowledge:
Practical
experience
with
compliance
frameworks
and
requirements
such
as
Anti-Money
Laundering
(AML),
Know
Your
Customer
(KYC),
sanctions
screening,
MiCA,
or
MiFID,
along
with
a
strong
understanding
of
regulatory
risk
and
audit-ready
environments.
Advanced
SQL
skills:
Expertise
in
complex
queries,
joins,
common
table
expressions
(CTEs),
analytical
functions,
and
extracting
insights
from
large
datasets.
Python
proficiency:
Experience
using
Python
and
analytical
libraries
such
as
pandas,
matplotlib,
and
Plotly
for
data
processing,
analysis,
and
visualization.
Data
modeling
expertise:
Hands-on
experience
with
dbt
or
comparable
tools
to
build,
organize,
and
maintain
reliable
datasets
for
reporting
and
decision-making.
Data
pipeline
management:
Experience
designing,
implementing,
and
maintaining
automated
data
pipelines,
with
a
solid
understanding
of
workflow
orchestration
and
data
dependencies.
Business
intelligence
and
visualization:
Proficiency
with
BI
tools
such
as
Amazon
QuickSight,
Power
BI,
or
Apache
Superset
to
create
clear,
executive-ready
dashboards
and
reports.
Communication
and
collaboration:
Strong
written
and
verbal
communication
skills,
with
the
ability
to
explain
complex
technical
and
regulatory
concepts
to
both
technical
and
non-technical
audiences.
Analytical
mindset:
Strong
attention
to
detail,
sound
judgment,
and
the
ability
to
identify
data
quality
issues,
assess
regulatory
risks,
and
deliver
practical
solutions
in
a
high-accountability
environment.
Preferred
qualifications:
A
degree
in
Mathematics,
Statistics,
Finance,
Information
Systems,
or
a
related
technical
field
is
an
advantage.
Familiarity
with
cryptocurrency
markets
and
financial
systems,
a
commitment
to
continuous
learning,
and
a
willingness
to
approach
problems
with
curiosity
are
also
desirable.
Benefits
Remote
work:
A
remote
position
with
opportunities
to
collaborate
with
an
internationally
distributed
team.
Meaningful
impact:
Contribute
to
regulatory
compliance,
data
quality,
and
risk
management
within
a
global
digital
asset
and
financial
technology
environment.
Professional
development:
Work
with
modern
data
technologies,
automation
tools,
and
complex
regulatory
reporting
systems.
Cross-functional
collaboration:
Partner
with
data,
engineering,
compliance,
and
leadership
teams
to
solve
challenging
business
problems.
Continuous
learning:
Develop
expertise
in
financial
data
analytics,
regulatory
frameworks,
and
the
evolving
cryptocurrency
ecosystem.
Inclusive
work
environment:
Join
a
global
workplace
that
values
diverse
perspectives,
professional
capabilities,
and
merit-based
opportunities.
Compensation
and
additional
benefits:
Salary,
healthcare
coverage,
bonuses,
and
other
employment
benefits
were
not
specified
in
the
original
job
description
and
should
be
confirmed
during
the
hiring
process.