Analytics Engineer

Senior Analytics Engineer, Rides Finance

We're looking for a Senior Analytics Engineer to own and scale Bolt's Competitiv...

Location

Estonia , Tallinn

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Hands-on experience with dbt (or Dataform) in production environments, including orchestration tools such as Airflow
Advanced SQL skills with a strong track record of building production-grade transformation layers
Experience integrating third-party data sources via APIs or batch ingestion pipelines
Proficiency with modern analytical data platforms such as Databricks, BigQuery, or Snowflake, including data modelling, performance optimisation, and cost management
Experience designing dimensional data models (fact tables, SCDs, data marts) and strong Python skills for pipeline development and automation
Experience implementing data quality testing, monitoring, and governance practices, with comfort in Git-based workflows and CI/CD

Job Responsibility

Design and maintain the end-to-end data model (raw → staging → intermediate → marts) using dbt, ensuring clear documentation, lineage, and maintainability across all data assets
Develop reusable data products: datasets, models, and metric layers, that power dashboards, analyses, and automated systems across Bolt
Design and manage ingestion pipelines for third-party competitive intelligence vendors (APIs, SFTP, batch files), including schema management, validation, and change handling
Implement data quality checks, monitoring, and alerting to ensure pipelines are reliable, secure, and aligned with Bolt's data platform standards
Define, standardise, and maintain competition-related KPIs and metric logic to ensure consistent interpretation across analytics and business teams
Optimise warehouse performance and cost efficiency for competition-related workloads, and enable teams through clear metric definitions and documentation

What we offer

Play a direct role in shaping the future of mobility
Impact millions of customers and partners in 600+ cities across 50+ countries
Work in fast-moving autonomous teams with some of the smartest people in the world
Accelerate your professional growth with unique career opportunities
Get a rewarding salary and stock option package that lets you focus on doing your best work
Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork
Take care of your physical and mental health with our wellness perks

Fulltime

Staff Engineer - Finance Data Engineer

GEICO is seeking Finance Data specialists to support the build out of a Finance ...

Location

United States , Palo Alto

Salary:

110000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle
Workday
SAP or PeopleSoft)
3+ years of experience in implementing and supporting FP&A applications (Preferred)
3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools
Good understanding of Dimensional Data Modeling
Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Experience working with Financials via the major vendors (e.g. PeopleSoft
Oracle EBS

Job Responsibility

Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO’s current and future needs
Engage in cross-functional collaboration throughout the entire software lifecycle
Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations
Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met
Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse
Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions
Support and try to influence customers and stakeholders, and work through divergent expectations

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff, Analytics Engineer, GTM Data Science & Analytics

This position is needed to advance the quality, reliability, and strategic value...

Location

United States

Salary:

Not provided

Stytch

Expiration Date

Until further notice

Requirements

Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment
Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt
Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability
Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences

Job Responsibility

Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics
Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions
Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences

What we offer

competitive pay
generous time off
ample parental and wellness leave
healthcare
retirement savings program
equity plan
corporate bonus plan
paid sick time
paid personal time off
paid parental leave

Data Engineer, Finance

Working within the Finance Data Team, the Data Engineer develops modern data pip...

Location

United States , Birmingham

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

Requires a bachelor’s degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field
At least five (5) years of experience in data engineering or related technical roles
Strong SQL development and database design experience
Experience building ETL pipelines using modern data integration tools
Proficiency in Python, PySpark, Databricks or similar data engineering technologies
Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud
Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies
Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms
Strong analytical and problem-solving skills
Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences

Job Responsibility

Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs
Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance’s Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements
Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations
Maintains data models optimized for finance use cases
Develops processes to monitor data integrity including reconciliation, and exception reporting
Collaborate with software developers and data scientists to support advanced analytics and AI initiatives
Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments
Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format
Defines project scope, deliverables and timelines, ensuring on-time, high quality products
Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities

What we offer

options for healthcare coverage
401(k)
tuition reimbursement
vacation
sick pay
holiday pay
Flexible Working Schedules
Wellbeing Programs
Learning Opportunities
Community Engagement

Fulltime