Senior Data Insight Analyst Job at Leeds Building Society (Leeds)

Senior Data Insight & Business Analyst

The Collecting Group (TCG) isn't your average company; we're a team of culture c...

Location

United Kingdom , London

Salary:

Not provided

The Collecting Group

Expiration Date

Until further notice

Requirements

5+ years of experience in analytical roles, with a strong bias towards product analytics, growth, or marketplace environments
Demonstrable experience leading an analytics function or team, including hiring, mentoring, and workflow prioritisation
Expert SQL and Python skills, including production-grade pipelines, scripting, and automation
Comfortable using BI tools such as Tableau, PowerBI, Looker, or Lightdash, and running analysis in statistical packages
2+ years of hands on experience working with LLMs and AI-powered tools to support insight generation, automation, and experimentation in a professional environment
Proven track record of influencing senior stakeholders with data storytelling and commercial acumen
Deep understanding of marketplace KPIs: CAC, LTV, take-rate, sale rate, funnel conversion, etc.
Strong written and verbal communication skills, and the ability to make complex ideas easy to grasp
A growth mindset: low ego, high curiosity, and an instinct to ask better questions, not just pull data
Full UK working rights (unable to provide sponsorship for this position)

Job Responsibility

Drive the data and analytics function, overseeing strategic priorities, workflow management, and team mentorship to guarantee the delivery of rigorous, timely, and impactful analytical output
Construct scalable analytical frameworks using SQL and Python to provide continuous, data-driven monitoring of marketplace dynamics, product performance, and user behaviour
Act as a key strategic thought partner for Product, Tech, Ops, and Marketing, delivering data-driven clarity on performance and providing clear recommendations for future experiments
Distill complex, raw data into concise, commercially-focused narratives and insights for presentation to the Board of Directors and senior leadership
Create and implement a range of AI/ML methodologies (including LLMs, RAG, clustering, and regression) to create intelligent internal tools and uncover new opportunities for commercial growth
Develop of advanced forecasting and modelling techniques to inform pricing structures, accelerate auction velocity, and guide the product development roadmap
Manage the end-to-end lifecycle of A/B testing and experimentation, from initial design and implementation to final analysis, with results directly shaping the product roadmap and go-to-market strategy
Execute proactive trend and impact analyses on key business metrics to identify underlying performance drivers, detect market inflection points, and inform strategic priorities
Identify and automated key inefficient processes within the auction lifecycle, leading to measurable improvements in operational speed, scalability, and accuracy
Serve as the primary analytical liaison to the Executive Team, championing a data-first culture and embedding the "voice of the data" into core strategic decision-making

What we offer

25 days holiday (plus an additional day each year after 2 years tenure)
Private medical insurance for you and your family with Vitality
Company pension contribution
Access to professional development resources and opportunities
Annual Learning & Development budget to support your professional growth
Monthly social budget to enjoy team activities and build connections

Fulltime

Senior Data Engineer / Data Analyst

N-iX is a global software development service company. Our customer is the Europ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting
Strong SQL skills (joins, window functions, performance tuning)
Production experience with Apache Airflow
Python skills for pipeline development
Ability to build and maintain database views (PostgreSQL, Snowflake, Redshift)
Solid ETL/ELT understanding
Clear communication with non-technical stakeholders
GitHub experience (branches, PRs, reviews)
English level - at least Upper-Intermediate, both spoken and written

Job Responsibility

Work with Salesforce objects and relationships to ensure correct ingestion, transformation, and integration into our reporting environment
Design, build, and maintain data pipelines using Apache Airflow (DAG creation, scheduling, monitoring, troubleshooting)
Write, optimize, and maintain SQL queries, stored procedures, and functions for data transformation and extraction
Create and manage database views to support analytics, reporting, and downstream applications
Ensure data quality, consistency, and reliability across pipelines and views (validation checks, monitoring)
Support QuickSuite dataset adjustments (new fields, logic changes, view extensions)
Document data flows, data models, and pipeline logic for long-term maintainability and handover

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Senior Data Quality Analyst, Master Data, Procurement Services

As the Senior Data Quality Analyst for Master Data within PG&E’s Procurement Ser...

Location

United States , Oakland

Salary:

98000.00 - 134000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
Demonstrated experience writing and implementing data quality rules, validations, and thresholds
Experience with data profiling, analytics, and quality reporting tools

Job Responsibility

Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
Track and escalate data issues using structured issue tracking and remediation workflows
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability

What we offer

eligible to participate in PG&E’s discretionary incentive compensation programs

Fulltime

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Markets Data Risk Senior Lead Analyst - Senior Vice President

We are seeking a highly experienced Senior Vice President (SVP) to fill a global...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant senior-level experience in risk management, data governance, or internal audit within the financial services industry
Deep understanding of a Markets business, including complex traded products, end-to-end trade lifecycles, and associated data flows
Proven, in-depth expertise in the design, implementation, and assessment of risk and control frameworks, including hands-on experience with RCSA/MCA processes
Comprehensive understanding of data's role in business decisions, risk management, and regulatory compliance, with the ability to analyze data lineage and architecture
Exceptional communication and influencing skills with a demonstrated ability to present data-driven narratives to senior stakeholders
A track record of developing and implementing long-term strategies that deliver measurable improvements in control effectiveness and risk reduction

Job Responsibility

Lead rigorous, top-down assessments of data controls across all Markets processes to identify weaknesses and gaps
Own and refine the Risk & Control Self-Assessment (RCSA)/Manager Control Assessments (MCA) for Markets Data
Design robust data controls to mitigate identified risks
Evolve and enhance the Markets Data Risk Appetite framework, defining standards for inherent risk, control effectiveness, and residual risk tolerance
Drive the implementation of new data controls within existing governance frameworks and operational workflows
Develop key data quality metrics (KRIs/KPIs) and deliver insightful reports on control effectiveness and the overall risk landscape to senior management
Serve as the organization's senior expert on data risk and controls
Act as a primary liaison between Data Managers, Process Owners, and senior leadership, using exceptional influencing skills to drive complex, cross-functional control improvement initiatives

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Senior Data Engineer (with Data Analyst skills)

As a Senior Data Engineer (with Data Analyst skills), your primary task will be ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

You have 4+ years of relevant work experience as a Data Analytics Engineer
You are analytical, curious, and detail-oriented
You get energy from diverse work and solving complex data questions
You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding
Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders
High motivation, proactiveness, and a genuine enthusiasm for data and product analytics
English level - at least Upper-Intermediate, both spoken and written

Job Responsibility

Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
Measuring the effectiveness of a new feature on the platform
Analyzing and advising on the customer journey (of B2B and B2C customers)
Analyzing the effectiveness of website personalization
Maintaining the tag management system and Snowplow data models in DBT/SQL

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

New

Senior Data Analyst

We're working with a high-growth business that is scaling its data function to t...

Location

United Kingdom , Manchester

Salary:

65000.00 - 75000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation
Commercial awareness
Strong SQL experience
Experience partnering with data scientists and engineering teams

Job Responsibility

Own experimentation and performance insight across search ranking and personalisation systems
Partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance

Fulltime

New

Senior Data Analyst

We're hiring experienced Data Analysts in Amsterdam to tackle complex challenges...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Experience as a Data Analyst, preferably in a fast-paced, product-focused environment
Proficient in SQL, Python, and BI tools (e.g., Looker), with familiarity in big data tools being a strong advantage
Expert executor, able to break down complex problems, prioritize effectively, and align work with strategic goals
Excellent communicator in English, able to manage diverse stakeholders and translate complex insights for technical and non-technical audiences
Able to structure projects and prioritize tasks and solutions based on impact and effort across several cross-functional teams
Curious and experimental mindset, with a drive to iterate, improve, and find better solutions

Job Responsibility

Take Ownership of High-Impact Projects
Shape Business and Product Strategy
Translate Data into a Compelling Vision
Setting the Standard
Act as a Multiplier Across Engineering

Fulltime

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Senior Data Insight Analyst

Job Description

Job Responsibility

Requirements

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