Temporary Data Analyst Job at Office Angels (Leeds)

Senior Data Analyst

The candidate must have senior data analysis experience in the following: Experi...

Location

United States , Columbus, Ohio

Salary:

Not provided

Ocean Blue Solutions

Expiration Date

Until further notice

Requirements

Experience collecting and managing WIC data as found in the State of Ohio WIC applications, including but not limited to Omneity and WIC Vendor Management
Experience collecting and managing WIC data from State of Ohio WIC agency via the Innovation Ohio Platform (IOP)
Experience using Impala/ANSI SQL to select and transform data as needed
SQL experience must include data conversion, pivots, and logical assignments
Experience using Hue (Impala Editor) for querying large datasets, managing SQL scripts, and creating reusable query workflows within shared or sandbox environments
Experience creating views or temporary tables within a sandbox database and/or schema to facilitate more complex queries
Experience working with business users to understand and document their analytics and reporting requirements
Experience developing complex reports and dashboard for state and federal reporting
Experience with all types of testing from unit to system and user acceptance testing, developing test cases and scenarios along with business users, reporting and tracking defects and triaging/resolving issues
Experience training business users on analytic tools and data structures

Senior Data Analyst

The candidate must have senior data analysis experience in the following: Experi...

Location

United States , Columbus

Salary:

Not provided

Ocean Blue Solutions

Expiration Date

Until further notice

Requirements

Experience collecting and managing birth defect data as found in the State of Ohio applications, including but not limited to the Maternal and Child Health Integrated Data System
Experience collecting and managing birth defect data from the State of Ohio Department of Health agency via the Innovation Ohio Platform (IOP)
Experience using Impala/ANSI SQL to select and transform data as needed. SQL experience must include data conversion, pivots, and logical assignments
Experience using Hue (Impala Editor) for querying large datasets, managing SQL scripts, and creating reusable query workflows within shared or sandbox environments
Experience creating views or temporary tables within a sandbox database and/or schema to facilitate more complex queries
Experience working with business users to understand and document their analytics and reporting requirements
Experience developing complex reports and dashboards for state and federal reporting
Experience with all types of testing from unit to system and user acceptance testing, developing test cases and scenarios along with business users, reporting and tracking defects, and triaging/resolving issues
Experience training business users on analytic tools and data structures

Product Data Analyst

We're seeking our first Product Data Analyst to establish data-driven product in...

Location

Spain , Madrid Remote, Barcelona Remote, Spain Remote

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

4+ years of product analytics experience, preferably with AI/ML products or enterprise software
Strong experience with AI product metrics (model performance, user-AI interaction patterns, automated workflow success)
Proficiency in SQL and experience with both relational and NoSQL databases (MongoDB, PostgreSQL)
Experience with data visualization tools (Tableau, Looker, Grafana, or similar)
Strong programming skills in Python or R for data analysis and automation
Experience analyzing complex user journeys and enterprise software adoption patterns
Understanding of statistical analysis, A/B testing, and experimental design
Experience working with event-driven architectures and real-time data streams

Job Responsibility

Design and implement comprehensive product analytics framework for Maisa Studio
Establish key product metrics, KPIs, and success measurements for AI Digital Workers
Build data pipelines and dashboards to track user behavior, worker performance, and platform adoption
Create the foundational data infrastructure to support product, engineering, and business decisions
Define data governance and quality standards for product analytics
Analyze Digital Worker creation, configuration, and deployment patterns
Track AI reasoning quality, execution success rates, and error patterns across the KPU system
Measure user adoption of different AI tools, integrations, and workflow configurations
Analyze the effectiveness of our "Chain of Work" traceability and explainability features
Monitor AI model performance, token usage, and computational efficiency across workers

What we offer

Opportunity to shape the future of accountable enterprise AI agents
Competitive compensation package
Flat organization focused on impact rather than hierarchy
Work with cutting-edge computational AI technology
Dynamic, experienced team of technical experts
Continuous learning in the rapidly evolving field of Agentic AI

Fulltime

Product Data Analyst

We're seeking our first Product Data Analyst to establish data-driven product in...

Location

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

4+ years of product analytics experience, preferably with AI/ML products or enterprise software
Strong experience with AI product metrics (model performance, user-AI interaction patterns, automated workflow success)
Proficiency in SQL and experience with both relational and NoSQL databases (MongoDB, PostgreSQL)
Experience with data visualization tools (Tableau, Looker, Grafana, or similar)
Strong programming skills in Python or R for data analysis and automation
Experience analyzing complex user journeys and enterprise software adoption patterns
Understanding of statistical analysis, A/B testing, and experimental design
Experience working with event-driven architectures and real-time data streams

Job Responsibility

Design and implement comprehensive product analytics framework for Maisa Studio
Establish key product metrics, KPIs, and success measurements for AI Digital Workers
Build data pipelines and dashboards to track user behavior, worker performance, and platform adoption
Create the foundational data infrastructure to support product, engineering, and business decisions
Define data governance and quality standards for product analytics
Analyze Digital Worker creation, configuration, and deployment patterns
Track AI reasoning quality, execution success rates, and error patterns across the KPU system
Measure user adoption of different AI tools, integrations, and workflow configurations
Analyze the effectiveness of our "Chain of Work" traceability and explainability features
Monitor AI model performance, token usage, and computational efficiency across workers

What we offer

Opportunity to shape the future of accountable enterprise AI agents
Competitive compensation package
Flat organization focused on impact rather than hierarchy
Work with cutting-edge computational AI technology
Dynamic, experienced team of technical experts
Continuous learning in the rapidly evolving field of Agentic AI

Fulltime

Azure Data Engineer

The Azure Data Engineer role involves designing, building, and maintaining ETL p...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer
Strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Azure Data Engineer

The Azure Data Engineer role requires 5-8 years of experience in designing and m...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Fulltime

Azure Data Engineer

The Azure Data Engineer role involves designing and maintaining ETL pipelines us...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Fulltime

Azure Data Engineer

We are currently seeking a Azure Data Engineer to join our team in Chennai, Tami...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
Experience designing or implementing rules engines (Drools, ODM, or similar)
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
Excellent debugging, optimization, and engineering problem‑solving skills

Job Responsibility

Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
Develop optimized, scalable physical data models aligned to business logic and downstream needs

Temporary Data Analyst

Office Angels

Location:
United Kingdom , Leeds

Category:
Consulting

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

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