Senior Data Analyst

About the Company:

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA. 

We’re a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.

 

About the Role:

As a Stable Kernel Senior Data Analyst, your primary goal is to aggregate and analyze client data to derive insights and recommendations for business optimization; communicating out recommendations to clients and the supporting team. Your special blend of technical knowledge, problem-solving, analytical, and communication skills allow you to work with our clients’ product owners to answer if their most innovative projects operate as intended and effectively solve business problems. 

Senior Data Analysts report directly to our Principal Data Strategist. 

 

Core Responsibilities Include:

• Technical Impact:
  • Designing and implementing solutions with an eye to the growth of the product and team by improving the speed of future work and preserving optionality without unnecessary complications.
    • Owning end-to-end design of measurement frameworks for complex data structures and driving standardization across projects.
    • Leading creation of advanced analytics strategies based on data-driven insights.
  • Utilizing advanced-level capabilities and supporting team members by crafting reusable solutions within the existing toolset.
    • Evaluating and recommending tooling improvements and analytics platforms for adoption across teams.
    • Working across teams to build reusable templates and advanced workflows that are easy to implement across clients and projects.
  • Understanding of cross-departments practices, products and infrastructure (e.g. APIs, cloud infrastructure, basic web architectures, native vs. cross-platform mobile solutions, data structures, and databases).
    • Anticipating cross-functional impacts and advocating for data considerations in product and strategy discussions.
    • Bridging communication gaps between business, engineering, and executive stakeholders.

• Business Alignment: 
• Understanding the client’s business and goals to improve the definition for your team’s projects.
• Refining and challenging business questions to ensure data solutions and insights drive value.
• Aligning team efforts with long-term client goals.
• Facilitating team conversations to clearly identify gaps, risks, and assumptions to accurately estimate work.
• Extending the expectations of your role to business processes in order to identify underlying needs and opportunities. 
• Understanding of the Product Owner role and responsibilities and having the ability to operate as one.
• Understanding of SK’s service offerings and cross-department capabilities.
• Identifying new organic growth opportunities with the client and engaging them in next steps.
• Supporting the statement of work process with the ability to craft sections of the SOW independently for growth in the data capability.

• Interacting with Others: 
• Coordinating, leading and collaborating on analytics initiatives with others outside of your team including product and design leadership.
• Influencing strategic decisions at the project and organization level. Guiding roadmap discussions with data-backed perspectives.
• Advising people across your VP-level organization. Acting as a key advisor to stakeholders and executives. 
• Delivering strategic-level status and team reports to leadership and senior clients. 
  
  
• Consulting: 
• Leveraging expertise to drive strategic growth by championing new analytics solutions or service offerings.
• Acting as the subject matter expert in high-level client discussions.
• Working with the client to prioritize data-led initiatives within the product backlog and representing their needs in planning sessions.
• Succeeding with ambiguity by your ability to plan, structure, and execute complex solutions without much input. 
• Shaping problem definitions, measurement frameworks, and establishing business goals to align teams early. 
• Leading Discovery sessions that inform product roadmap and decisions that are founded in data.

• Problem-Solving:
• Demonstrating a clear understanding of inductive and deductive reasoning skills when driving solutions for products.
• Identifying and solving high-priority, complex problems and distilling them into short and long term solutions quickly and effectively.
• Understanding of end-user and client goals to inform product direction.
• Leading problem solving workshops to align client teams.
• Recognizing and mitigating risk effectively as well as removing roadblocks.
• Anticipating future risks at initiative or organization level and developing contingency plans to remove risks before problems arise.
• Navigating difficult situations by independently finding a way forward or escalating when necessary with a possible solution.

• Leadership:
• Taking ownership of internal projects to streamline team processes that assist with speeding up and/or simplifying the work.
• Driving best practices across your project and client program.
• Mentoring junior and intermediate colleagues and supporting their professional growth.
• Setting a positive example.
• Providing regular constructive feedback.
• Guiding less experienced colleagues through complex projects.
• Leading team learning sessions.
• Resolving conflicts.
• Demonstrating strong product leadership skills, including planning, delegating, and monitoring progress.
• Making critical decisions and driving deliverables to successful implementation.
• Representing the team in client conversations.

 

Intimate, Working Familiarity With:

• Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
• Experience with creating data gap analysis between systems.
• Experience using SQL, Python.
• Experience with observability and data visualization tools such as Grafana or DataDog.
• Experience using analytics related tools such as Databricks or Amplitude.
• Familiarity with Microsoft Office Suite.

 

General Requirements:

• 5-8  years of experience as a data analyst.
• Experience working in a consulting or professional services organization.
• A bachelor’s degree in data science, a quantitative/analytical field, or similar.

 

Nice-to-haves:

• Ability to create ER diagrams.
• Ability to effectively test APIs using standard tools such as Postman and curl.
• Experience using agile work management tools such as Jira.

 

A Bit More Info:

Minimum Base Compensation: $125,000

This is a full-time position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.

Travel may be associated with this role as it requires you to maintain an in-office presence in a hybrid capacity for regular in-person engagements for both clients and internal teams.

Our generous total compensation package includes:

• Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
• 401k with above-average company matching 
• Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
• Optional Flexible Spending Account, Dependent Care Flexible Spending Account, and Health Savings Account participation
• Voluntary Life, Critical Illness, and Accident insurance
• EAP and Health Advocacy program available at no cost to employees and their dependents
• $1500-3000 annual industry educational budget 
• Paid time off and paid holidays
• Access to Perks at Work program featuring a variety of discounted products and services

 

*Note – We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

 

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate on the basis of race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values:

• we work with integrity always
• we respect our work and each other
• we are dedicated to life-long learning and sharing
• we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.