Velir Logo

Velir

Manager, Analytics Engineering

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
145K-160K Annually
Entry level
Remote
Hiring Remotely in USA
145K-160K Annually
Entry level
Leads and manages an analytics engineering team while contributing to data transformation, modeling, quality, and delivery solutions. Establishes modeling and development standards, implements analytics engineering tools, supports client engagements, improves reporting and visualization processes, allocates team resources, mentors engineers, supports presales, and drives internal quality and process improvements.
The summary above was generated by AI

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.

At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.

Overview

As a Manager, Analytics Engineering, you will be responsible for leading and managing a team of Analytics Engineers while actively contributing to the development and implementation of analytics engineering solutions. Your primary focus will be to address pain points related to analytics engineering culture, standardized development and modeling approaches, tools, and staying up-to-date with industry trends in a way that benefits the company. You will play a crucial role in driving employee retention, resourcing, learnings management, presales, feedback gathering, QA, and internal analytics engineering processes. 

Key Responsibilities 
  • Team Leadership: You are responsible for a diverse team of analytics engineers, at different levels in their careers. You will foster their growth,  and wellbeing of the team, as well as pairing with the team to solve interesting analytical challenges. You will work closely with data solutions managers and your director to ensure adequate and sustainable analytics engineering coverage across engagements. 
  • Functional Leadership: You are responsible for working with clients to build guidelines for data modeling and transformation, measuring and tracking deliverables, and implementing analytics engineering tools to support data-driven decision-making, and develop strategies to ensure data quality and consistency with their data products. 
  • Project Delivery: You are responsible for improving core analytics engineering deliverables by supporting internal process reviews, building guidelines for data visualization and measuring and tracking reporting deliverables to ensure client satisfaction. 
Tools & Technologies 
  • Expert proficiency with data transformation tools (e.g., dbt) 
  • Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT) 
  • Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake) 
  • Knowledge of common data integration patterns (e.g., CDC, ELT, etc.) 
  • Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow) 
Technical Skills
  • Experience mentoring and advising other engineers 
  • Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth. 
Qualifications
  • Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake) 
  • Intermediate / expert proficiency with data modeling approaches and philosophies, and the tools that are used (e.g., dbt) 
  • Experience mentoring and advising other engineers 
  • Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth. 
Physical Requirements
  • Frequent sitting at a desk performing work on a computer
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Compensation Range: $145,000-160,000 annually

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

 
Core Company Values
  • Take the Long View - Ensure the company is built to last
  • Be Courageous - Make the right decisions even when they aren't the easiest decisions
  • Be Genuine - Bring honesty and authenticity to all that you do
  • Work with Focus + Passion - Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.

At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.


HQ

Velir Somerville, Massachusetts, USA Office

Somerville, MA, United States

Similar Jobs

13 Days Ago
Easy Apply
In-Office or Remote
Easy Apply
130K-185K Annually
Senior level
130K-185K Annually
Senior level
AdTech • Digital Media • Healthtech • Marketing Tech • Sales • Analytics • Pharmaceutical
Leads an analytics engineering team developing governed, scalable data models, semantic layers, and BI frameworks. Owns dbt, Snowflake, and Looker practices; establishes modeling, testing, documentation, metric, and governance standards; and enables trusted self-service analytics. Partners with data and business teams to translate requirements into technical solutions, deliver strategic data assets, track OKRs, and communicate insights to executives. Provides mentorship, resource allocation, project oversight, and hands-on technical leadership.
Top Skills: AWSAzureCi/CdDbtGCPLookerLookmlPythonSnowflakeSQLTableau
21 Days Ago
Remote
US
139K-152K Annually
Senior level
139K-152K Annually
Senior level
Big Data • Machine Learning • Software • Analytics
Manages Finance analytics engineering and automation, building governed Snowflake and SQL data products, consumption layers, reconciliations, controls, workflows, and integrations. Partners with FP&A, Data Engineering, and business teams to translate Finance requirements into reliable technical solutions. Leads lineage analysis, testing, monitoring, documentation, AI-assisted workflows, production support, and team development while maintaining clear ownership between Finance and enterprise data teams.
Top Skills: AlteryxAnaplanAPIsDbtLlmsMcpNetSuitePythonSalesforceSnowflakeSQLTableauWorkday
2 Months Ago
Easy Apply
Remote
USA
Easy Apply
219K-257K Annually
Senior level
219K-257K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.
Top Skills: C++Distributed SystemsGenerative AiGoJavaKotlinReal-Time Market Data SystemsStreaming Data Pipelines

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account