Client Data Strategy & Analytics Lead

KrakenTech; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

KrakenTech is seeking a hands-on analytics consultant to help client organizations build stronger data capabilities as they move to a new platform. You will design reporting, run queries, and analyze data while guiding senior leaders on data strategy and team organization.

You’ll translate client needs into product and engineering inputs, collaborate with data engineers, and mentor delivery teams to ask the right questions and apply insights effectively.

Qualifications

• Several years in analytics, BI, or a related field such as analytics management, lead analysis, or data consulting.
• Strong SQL skills and familiarity with modern BI tools and data practices.
• Experience delivering work for clients and/or owning product outcomes.
• Degree or equivalent qualification.
• Ability to combine practical analysis with advising, training, and collaboration across client and internal teams.

Responsibilities

• Help clients redesign important reporting and analytics around new data and concepts, using working sessions, training, and query writing.
• Advise senior data leaders on building effective analytics organizations, modern data stacks, and business-led data strategies.
• Identify and prioritize client data needs, connecting shared requirements to product planning.
• Partner with engineering on data features and requirements grounded in client use cases.
• Train client delivery colleagues to help their business areas ask useful data questions and apply insights.
• Troubleshoot data challenges directly when needed and support a smooth reporting transition.

Skills

SQL

BI tools

Analytics leadership

Client delivery

Training & advisory

Education

Degree or equivalent

Job description

KrakenTech is seeking a hands-on analytics consultant to help client organizations build stronger data capabilities as they move to a new platform. You will design reporting, run queries, and analyze data while guiding senior leaders on data strategy and team organization.

You’ll translate client needs into product and engineering inputs, collaborate with data engineers, and mentor delivery teams to ask the right questions and apply insights effectively.