Sr., Data Analytics at DEPT®

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

128500.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Predictive Modeling, Applied Statistics, SQL, Python, R, Data Management, ETL, Data Governance, Cloud Platforms, NoSQL, Data Solutions, Business Strategy, Data Mining, Business Forecasting, Technical Design

Industry

Advertising Services

Description

WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA. We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build. THE ROLE: We are looking for a Senior Data Analyst seeking to work with our clients to shape business and data strategy. You are highly analytical and excited about applying a quantitative framework to business problems through performing analysis, data mining, predictive modeling, business forecasting, applied statistics, and more. You are comfortable with presenting your approach to Product Managers, Engineers, Marketing, Sales, Finance and working with them to execute a data-driven business process. At DEPT® Data & Engineering, we pride ourselves on our pragmatic, engineering approach to making data work for the business. WHAT YOU'LL BRING: Ability to realign client expectations when challenges arise (delays, change in scope, etc.) Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues) You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., the ability to connect technical solutions to a business need). You enjoy working with peers / new hires to help them understand and apply best practices You can prioritize multiple tasks and communicate the overall status of a project. You enjoy participating in the technical design of systems, schemas, or pipelines and offer sound guidance WHAT WE ARE LOOKING FOR: 3+ years of applied analytics in sales, finance, marketing, product, and engineering; track record of success 3+ years of discovery and assessment of a client’s data portfolio, data tools, and data applications 2+ years of data management and consulting experience Familiarity with cloud platforms such as AWS, GCP, Azure to use/deploy analytics solutions Strong working knowledge of SQL. NoSQL is a plus Knowledge in at least one or more languages for applied statistics, data analysis, and machine learning - Python, R, Matlab, SPSS Experience in design-and-build innovative data solutions, from discovery to delivery for clients and external stakeholders Ability to manage a data ecosystem including ETL, data governance, reporting and insights WHAT DO WE OFFER? We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our benefits package: Healthcare, Dental, and Vision coverage 401k plan, plus matching PTO Paid Company Holidays Parental Leave WE SUPPORT YOU BEING YOU: DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI. Learn more about DEPT® DIVERSITY, EQUITY, & INCLUSION At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here. #LI-Remote Region D (Ex. Salt Lake City, UT) $83,000—$105,000 USD Region C (Ex. Denver, CO; Atlanta, GA) $87,000—$110,000 USD Region B (Ex. Chicago, IL; New York, NY; Los Angeles, CA) $95,100—$116,500 USD Region A (Ex. San Francisco, CA) $104,900—$128,500 USD

Responsibilities

The Senior Data Analyst will work with clients to shape business and data strategy, applying quantitative frameworks to solve business problems. Responsibilities include performing analysis, data mining, predictive modeling, and collaborating with various teams to execute data-driven processes.