Analytics Engineer | Mid-Senior | Finance Team

Nord Security
Lithuania
Remote

Who this role is best for

Aimed at mid-senior level Analytics Engineers who can build scalable data models and collaborate closely with stakeholders and data engineers.

Best fit for

  • Candidates with mid-senior experience in building scalable analytics workflows and translating business needs into technical solutions
    — “Collaborate with stakeholders to gather data and analytics needs, translating them into technical specifications and scalable data models.”
  • Professionals who can independently manage multiple priorities and implement data quality monitoring processes
    — “Strong problem-solving mindset and the ability to work independently while managing multiple priorities.”
  • Individuals with hands-on dbt experience and the ability to create reusable data assets for analytics and chatbots
    — “Design and implement data transformation workflows using dbt to create reusable, analysis/chatbot-ready data assets aligned with business requirements.”

Things to consider

  • Candidates must be prepared to undergo automated evaluation using AI-based tools for initial screening
    — “By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes.”
  • The role requires a strong command of English for communication and documentation purposes
    — “Excellent written and spoken English communication skills.”

How to stand out

  • Highlight experience with dbt and cloud data warehouses like Snowflake or BigQuery in your resume and interview responses
    — “Experience working with cloud data warehouses (e.g., BigQuery, Snowflake).”
  • Demonstrate your ability to implement data quality checks and monitoring processes effectively
    — “Implement data quality checks and monitoring processes to ensure data accuracy, consistency, and completeness.”
  • Showcase your track record of applying software engineering best practices to analytics work
    — “Promote and support the adoption of software engineering best practices in analytics.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

Skills & requirements

Required

SQLdbtETLCloud Data WarehousesData ModelingETL ToolsGitAgile

Preferred

PythonRAirflowFivetranScrum

Stack & domain

dbtSQLCloud Data WarehousesBigQuerySnowflakeETL ToolsAirflowFivetranData ModelingData Transformation TechniquesVersion ControlCode ReviewsAutomated TestingPythonRGitScrum MethodologiesAgile Development PracticesCommunicationProblem-solvingTeamworkMentoringFinanceData Transformation WorkflowsData AssetsData Quality ChecksMonitoring ProcessesData EngineeringData PipelinesData Models

About the role

Original posting from Nord Security via Ashby

AT NORD SECURITY, WE’RE CREATING A SAFER CYBER FUTURE.

We help people and businesses take back control of their online security, privacy, and data. From VPNs to password managers, threat intelligence to eSIMs for travel—our teams turn complex problems into solutions trusted by millions worldwide.

Life is online. In this role, you’ll help people own it.

MAIN RESPONSIBILITIES

  • Design and implement data transformation workflows using dbt to create reusable, analysis/chatbot-ready data assets aligned with business requirements.
  • Collaborate with stakeholders to gather data and analytics needs, translating them into technical specifications and scalable data models.
  • Work closely with data engineers to build efficient, scalable, and reliable data models and pipelines for current and future use cases.
  • Implement data quality checks and monitoring processes to ensure data accuracy, consistency, and completeness.
  • Promote and support the adoption of software engineering best practices in analytics, including version control, code reviews, and automated testing to ensure code quality and readability.
  • Document data transformations and implement best practices.

CORE REQUIREMENTS

  • Proven experience in Analytics Engineering or a similar role;
  • Strong SQL skills, with the ability to write clear, maintainable, and efficient queries;
  • Experience working with cloud data warehouses (e.g., BigQuery, Snowflake);
  • Hands-on experience with dbt as a transformation tool for building analytics workflows using SQL;
  • Knowledge of ETL tools (Airflow, Fivetran, etc.);
  • Solid understanding of data modeling and data transformation techniques;
  • Excellent written and spoken English communication skills;
  • Strong problem-solving mindset and the ability to work independently while managing multiple priorities.

BONUS POINTS IF YOU:

  • Experience with programming languages such as Python or R;
  • Experience with Git, Scrum methodologies, and Agile development practices.

WHAT WE OFFER

  • Sharpen your edge: training, mentorship, and room to grow — always.
  • Take the time you need: extra vacation days, sick days, and time off when life calls.
  • Get premium healthcare: private health insurance in Lithuania and Poland — fully covered.
  • Protect your peace: enjoy free subscriptions to Calm, Headspace, and Mindletic, and our own resilience and mindfulness trainings.
  • Own your fitness: in-house gyms, sport cards, online workouts, and personal guidance — on us.
  • Pack your bags for workation: experience our company-wide trip abroad to the fullest.
  • Work from anywhere: work from wherever keeps you in the zone.
  • Celebrate your milestones: birthdays, weddings, and new family members — all deserve a gift.
  • Parent with ease: children’s summer camps and flexibility around the schedule — because parenting never pauses.
  • Join the party: team building and company events people talk about for months.
  • Unlock Cyber City: coffee bar, open gyms, kids’ room, music room, massage chairs — our Vilnius HQ is yours to enjoy.

Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes.

We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance.

By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.

Source: Nord Security careers (Ashby)

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