Data Jobs in Boston

To support our continued growth, Interactions is looking for a Sales Operations Analyst to join the sales operations team. The Sales Operations Analyst will be responsible for reporting on various sales and business metrics as well as analyzing those metrics to provide actionable recommendations to sales leaders about their teams that can lead to improved performance.

Chewy is seeking a highly motivated, goal-oriented, and analytical, Data Scientist to join our exciting and fast paced company in Boston, MA. Our team is growing and if you are equally passionate about data analysis, digital marketing, e-commerce, and career growth, an opportunity at Chewy may be a great match! As the Data Scientist, you will be focused on solving business problems by advanced mathematical modeling to predict outcomes of high impact business decisions. In this role, you will own the management of Chewy’s digital marketing data science end-to-end. You will cooperate with BI teams across the organization in finding insights and developing the right data solutions. In this role, you should be effective at organizing large amounts of data from multiple data sources and build predictive and machine learning models from these large data sets, in order to support solutions of business problems as well as marketing campaign optimizations. This candidate should have a passion for data quality and attention to detail.

Chewy is looking for a  Data Warehouse Engineer to join our IT Business Intelligence Team based in Boston, MA. The ideal candidate will be a well rounded technologist with a passion for building innovative business solutions with big data technologies. Experience delivering big data solutions – from system setup to development to business solution delivery – is critical. Programming experience is also paramount. Big data technologies are constantly evolving. The Senior Data Warehouse Engineer should be keeping up with the latest developments and should be able to connect technical capability with business need.

The Chewy Ecommerce Analytics team is looking for a seasoned Manager of Ecommerce Optimization to lead experimentation across our website and apps in our Boston, MA location. In this role, you will be the authority on experimentation within the Ecommerce team and will guide our strategy, standards and processes around a/b and multivariate testing. You’ll play a key role in shifting the culture of the organization to embrace and properly utilize experimentation. The ideal candidate is a statistics whiz with experience building or growing a mature testing program.

The Chewy Ecommerce Analytics team is looking for an experienced Senior Analyst, Ecommerce to support our product teams with analysis and insights to inform the customer experience roadmap. In this role, you will work closely with the Product, UX, Marketing, Merchandising and Business Intelligence teams to develop a keen understanding of customer onsite/in-app behavior, build dashboards and reports, provide ad-hoc analyses and run experiments aimed at improving the customer experience and conversion rate.

Chewy is looking for a Senior Manager, Analytics & Reporting to join our Pricing Team based in Dania Beach, FL or Boston, MA. The ideal candidate will have a unique mix of business intuition, analytical expertise, and client management enabling them to drive strategic decisions across the organization. Strong candidates will be excited about evolving pricing strategy, analyzing large sets of data, and collaborating with a cross-functional group of business partners on high-impact initiatives. Example projects could include analyzing own and competitive pricing trends, modeling price elasticities, hypothesizing and testing new pricing strategies, modeling sales and margin impact and working with cross-functional teams to optimize & execute aligned pricing strategies. 

You will be our hands-on expert regarding our data environment with a deep understanding of how we track our product and marketing channels. You will build new metrics that enable teams across the company to measure their performance. Collaborate with product and marketing teams to roll out key insights generated from data analysis. Identify turning points in customer behavior and what caused those changes. You will also mentor and develop junior analysts.

Investigate product issues spanning the domains of materials, mechanical, electrical and software. Create reports and dashboards for the Quality Team, engineering, and customer success. Build standard reporting and analysis tools for both the Quality Team and Customer Service Team to quickly fix product issues. Inform engineering decisions with data analysis, present findings to the Quality Team and design teams to improve the quality of hardware and software. Analyze data and make recommendations on priority of work, first steps on investigating product issues. Assess new data sources to better understand availability and quality of data.

Who we are Drizly is the world's largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We partner with the best retail stores in over 100 cities across North America to serve up the best buying experience and offer a huge selection and competitive pricing with a side of personalized content. That is what we do.

As a Scaleout Engineer, you will build out Data Management and ETL system inside DataRobot utilizing distributed frameworks such as Spark, Hadoop and Kubernetes. You will build scalable solutions to process high data volumes, with the main focus on crafting robust components for data intake, cleanup and full variety of data transformation. You will also be responsible for designing and implementing features from start to finish, including clean and easy to use APIs, automated tests, and deployment infrastructure.

Act as the product owner for our Business Intelligence tools and projects. Establish best practices, audit data for accuracy and oversee permissions and security within Acquia’s chosen Business Intelligence Platform Domo. Develop expertise in the various systems Acquia uses internally — particularly focused around the data structure and corresponding processes that impact the data. Define the long term strategy for the Business Intelligence Team at Acquia. Work with internal stakeholders to identify key business requirements and develop automated reporting from data extraction to visualization. Build individual and department level dashboards pertaining to key business initiatives outlined by senior management. Champion data initiatives by refining processes and data structures to ensure scalable reporting solutions. Combine and transform data from multiple sources using a mix of SQL and Domo’s in-platform ETL tools. Be proactive in determining the Business Intelligence needs and wants of Acquia.

As a Director of Data Science, you will provide direct, hands-on leadership to a team of data scientists, while working closely with engineers who productize machine learning solutions. Your work will be central to meeting Circle’s goal of becoming the premier platform for tokenizing, investing in and trading of crypto assets. As a part of your job you will interface with business stakeholders and have an opportunity to significantly impact results and decision making for risk, compliance, marketing and trading functions at Circle. Importantly, your work will help improve customer experience across a range of products offered by Circle.

As part of the core Business Intelligence team, the Business Intelligence Analyst will have immediate impact as the liaison for all cross-functional data reporting projects. This role will be hands-on, working collaboratively and cross-functionally to gather BI reporting requirements for company needs, building data models, and creating visualizations to tell a story.

-Drive match identification across all families. -Analyze matching rates across our customers and geographies. -Propose operational changes and marketing investments to increase matching rates. -Understand and weigh tradeoffs in matching success and unit economics to guide matching process (e.g. increasing or decreasing gaps in care start dates between pairs of families). -Collaborate with service, product, and engineering team to increase efficacy and efficiency of matching with technology & automation.

The Business Development Manager will thoroughly understand ADUSA's business, competition (market, regional and US) and strategic objectives to identify areas of opportunity. They will proactively seek new business opportunities and partnerships that help drive ADUSA's goals forward. This may involve using forward thinking and predictive modeling to understand where markets and competition are moving. The incumbent will work hard to identify, build and maintain strong partnerships with third-parties to maximize relationships and the provider's offerings to help drive our top initiatives forward. This includes heavy involvement in the diligence to determine which partnerships are the best strategic fit for the organization.

As a Cogo Labs Quantitative Data Analyst, you'll run and grow business lines within our incubator. You'll design and implement marketing programs, analyze performance metrics, and use the insights you gain to drive growth in audience engagement and revenue. Your expertise, ideas, and hard work will have a direct and immediate impact on the success of your project.

You'll design and implement marketing programs, analyze performance metrics, build and test consumer internet products, and use the insights you gain to drive growth in user engagement and revenue. Your expertise, ideas, and hard work will have a direct and immediate impact on the success of your project.

As a Quantitative Data Analyst, you'll run and grow a new revenue line. You'll design and implement marketing programs, manage performance, and use the insights you gain to drive growth in user engagement and revenue.  The Uplift Financial environment is very experiment driven and you will be encouraged to explore and test new ideas. The combination of your expertise and ideas will have a direct and immediate impact on the Uplift Financial business.

As a Cogo Labs Senior Analyst, you'll help support business lines within our incubator. You'll design and implement marketing programs, analyze performance metrics, and use the insights you gain to drive growth in audience engagement and revenue. Your expertise, ideas, and hard work will have a direct and immediate impact on the success of your project. About us:

As a Senior Analyst at Uplift Financial, you'll run and grow a new revenue line. You'll design and implement marketing programs, manage performance, and use the insights you gain to drive growth in user engagement and revenue. The Uplift Financial environment is very experiment driven and you will be encouraged to explore and test new ideas. The combination of your expertise and ideas will have a direct and immediate impact on the Uplift Financial business. Day to day work will include devising new algorithms to better target consumers, profiling consumers utilizing consumer and business intelligence data, testing new campaign designs, managing marketing infrastructure, and developing growth and engagement forecasts using Python, SQL, and other tools.