Senior Data Analytics Engineer (Looker)

About Nerdery and Being a “Nerd.”
Nerdery is a digital product consultancy. Much more than consultants, we’re allies and guides on our clients’ digital journey – helping them to grow their business and delight their customers through intuitive, thoughtfully designed technology. As true partners, we prepare our clients for the opportunities in front of them, help them achieve their goals, and quickly deliver value for their customers. We do this by solving problems in creative ways across strategy, design, and technology.

At Nerdery, we’re not defined by our job titles but by the impact we make. You’ll work directly and closely with some of the world’s best brands to help create innovative digital products that serve everyone. As Nerds, our insight, innovation, and expertise are celebrated, and our growth is not only encouraged but expected. Being a Nerd means stepping up and pushing the boundaries of what’s possible.  We’re curious, fearless (well, not totally fearless – there are heights and spiders, after all), and always our authentic selves.

We are looking for a Senior AI/ML Engineer to join our team!  We invite you to check out the details below and consider whether becoming a Nerd is the next step in your career journey.

The Senior Data Analytics Engineer will design and implement cutting-edge data solutions that drive real business impact.  This role will bridge the gap between technical and business worlds, transforming complex data into actionable strategies. Working closely with Google and leveraging GCP tools like Looker and BigQuery, you'll develop dashboards, LookML models, and data-driven insights that address client challenges. This role is critical in showcasing the value of our offerings, driving new business opportunities, and shaping data strategies in a fast-paced, consultative environment.

Requirements

• Bachelor’s Degree in Computer Science or related field.  
• 5+ years of experience in data analysis or business intelligence, with at least 3+ years utilizing Looker and GCP.
• Strong understanding of data modeling, data warehousing, and dimensional modeling concepts.
• Demonstrated experience working with clients in various industry verticals, understanding their unique data challenges and opportunities.
• Excellent comprehension of Looker and its implementation, with additional analytics platform experience a major plus.
• Experience with Google Cloud and its data services is preferred, however experience with other major cloud platforms (AWS, Azure) and their data services will be considered.
• Excellent programming skills in Python and experience working with python-enabled capabilities in analytics platforms. 
• Solid understanding of data modeling, ETL processes, and data integration techniques. Experience working with dbt or dataform is a plus.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
• Proficiency in SQL (CloudSQL Preferred) and deep experience with data visualization tools.
• Experience with GCP data services like BigQuery, Looker, etc..
• Excellent communication and presentation skills, with a consultative approach.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred

• Experience with GCP security tools and best practices.
• Google Cloud certifications and any analytics platform certifications are a plus.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with Agile methodologies.

What You'll Do:

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Design and develop visually compelling and interactive dashboards that showcase the value and potential of our solutions to clients.  
• Create dashboards that tell a story with data, highlighting key insights and driving impactful decision-making.
• Prioritize design and aesthetics in dashboard creation, ensuring they are not only informative but also engaging and impressive to clients.
• Work with Clients to enable them on the Looker Platform, teaching them how to construct an analytics ecosystem in Looker from the ground up.
• Develop and maintain LookML models to create a semantic layer for business users, ensuring data accuracy and consistency.
• Conduct performance tuning and optimization of data analytics solutions to ensure efficient processing and query performance.
• Advise clients on how to develop their analytics centers of excellence, defining and designing processes to promote a scalable, governed analytics ecosystem.
• Perform ad-hoc data analysis using SQL within BigQuery and other tools to answer client questions and support POC development.
• Collaborate closely with Data Engineers and Solutions Architects to ensure data quality, availability, and alignment with client needs.
• Write clean, efficient, and scalable code (LookML, Python as applicable)
• Stay current on the latest data visualization and analytics trends and technologies, particularly within the GCP ecosystem.
• Provide technical guidance and mentorship to junior team members, sharing knowledge and promoting best practices.

What Skills Will Help You Be A Successful Nerd?

• Strong communication skills: Able to effectively explain technical decisions to non-technical stakeholders.
• Process improvement: Experienced in identifying process pain-points and taking ownership of refining processes to completion.
• Collaborative Problem Solver: Able to take initiative to understand a problem and make critical decisions to solve for next actionable steps
• Client interaction: Comfortable interacting with clients, including light client management, conducting technical demos, and collaborating closely with technical stakeholders from the client.
• Risk assessment and communication: Proven ability to clearly communicate the risks, complexity, and timeline impacts of newly added product features or scope.

Are We the Right Fit For You?

The best way to get the scoop on whether Nerdery is the right place for you is to chat with current Nerds.  We would be delighted to have a conversation with you and share insight into what it’s really like to work at our organization and if it’s a place where you can thrive.  Our interview process will provide you ample opportunity to talk with other team members and assess whether the role is a good fit for your next chapter.  Take the first step and apply today – our Talent Advocates will then reach out to you to get the ball rolling!

Must be legally authorized to work within the country of employment without sponsorship for employment visa status.

Nerdery is an equal opportunity employer and complies with all applicable federal, state and local fair employment practice laws. Nerdery strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), pregnancy, marital status, familial status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, membership or activity in a local human rights commission, status with regard to public assistance or any other characteristic protected under applicable federal, state or local law. All employees, other workers and representatives of Nerdery are prohibited from engaging in unlawful discrimination. Nerdery will ensure that all employment practices are free of such discrimination. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, compensation, benefits, selection for training, including apprenticeship and other terms and conditions of employment. Nerdery will also provide reasonable accommodation to applicants and employees with disabilities pursuant to all applicable laws.

Nerdery will never request a chat interview. All interviews are conducted either in person or through Google Meets. Additionally, Nerdery exclusively uses email addresses ending with @‌Nerdery.com

If you have questions about any correspondence you receive regarding an opportunity at Nerdery, please reach out to [email protected].