Senior Behavioral Data Analyst Job at Intellias

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Senior Data Analyst

Join our Shop Analytics Team within the Customer & Shop Intelligence cluster and...

Location

Germany , Hamburg or Berlin

Salary:

70000.00 - 80000.00 EUR / Year

About You

Expiration Date

Until further notice

Requirements

Advanced proficiency in SQL for complex data analysis and querying large datasets
Expertise in e-commerce KPIs and funnel analysis
Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports
Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
Strong understanding of customer segmentation and cohort analysis in the e-commerce context
Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions
Attention to detail and commitment to data quality and accuracy

Job Responsibility

Conduct in-depth analyses on shop user behavior to uncover actionable insights
Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements
Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences
Provide full-cycle A/B test analytical support to optimize shop performance
Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability
Design and implement advanced dashboards, enabling self-service analytics across the organization
Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making

What we offer

Hybrid working
Fresh fruit every day
Sports courses
Free access to code.talks
Exclusive employee discounts
Free drinks
Language courses
Laracast account for free
Company parties
Help in the relocation process

Fulltime

Senior Data Analyst

As a Data Analyst at Norm, you will join our growing data team to build and scal...

Location

United States , New York City

Salary:

160000.00 - 190000.00 USD / Year

Norm AI

Expiration Date

Until further notice

Requirements

5-7 years of data analytics experience, ideally with 1-2 years of data engineering exposure
Strong SQL and Python skills, with hands-on experience in a modern data stack (dbt, Fivetran, Hex, Airflow)
Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Proven ability to build analytics foundations or data models from scratch, especially in early-stage or scaling environments
Experience supporting B2B SaaS products and understanding enterprise customer behavior
Ability to translate complex business questions into technical data solutions
Comfort working in small, fast-moving teams and wearing multiple data hats
AI fluency: active use of AI in day-to-day work to support thinking, creation, and problem-solving

Job Responsibility

Build and maintain data models, pipelines, and help develop ELT processes that support product and business analytics
Implement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflows
Develop measurement frameworks to evaluate AI model performance in real-world legal and compliance contexts
Design and deliver self-service analytics capabilities using modern tools like Hex for analysis and visualization, dbt for semantic modeling
Set up and maintain reliable data pipelines using orchestration platforms like Airflow
Establish and uphold data governance practices aligned with enterprise security and regulatory requirements
Build dashboards and KPIs that drive strategic product and business decisions

What we offer

Equity compensation
401(k) plan with an employer match
Top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans
Relocation reimbursement for candidates needing to relocate to NYC
Fast-paced learning environment where professional growth is constant

Fulltime

Senior Data Analyst, Product

Articulate is looking for a Senior Product Data Analyst to join our amazing Data...

Location

United States

Salary:

115600.00 - 153170.00 USD / Year

Articulate

Expiration Date

Until further notice

Requirements

5+ years of experience in data analysis, business intelligence, or a related quantitative field
Demonstrated experience in product analytics for a B2B SaaS product, including funnel analysis, retention modeling, cohort analysis, and feature adoption metrics
Strong proficiency in SQL, including both ad-hoc querying and data modeling for analytical reporting, especially for event-level datasets and behavioral analytics
Strong experience instrumenting and validating product usage event data, preferably using Segment or comparable customer data platforms
Experience with at least one data visualization platform (Looker or Metabase preferred) with the ability to design intuitive dashboards and optimize reporting structures
Ability to validate data across complex or undocumented systems, ensuring accuracy and consistency across outputs
Proven ability to translate product questions into structured analytical approaches that inform feature development and product strategy
Experience partnering directly with product managers, UX researchers, and engineers to define metrics, design experiments, and support product discovery
Ability to communicate user behavior insights in a compelling narrative that informs product decisions for both technical and non-technical stakeholders

Job Responsibility

Serve as a strategic analytics partner to product managers, UX researchers, and engineers to define analytics requirements for new product features, including identifying key user behaviors and success metrics
Create scalable product analytics dashboards and self-service tools tailored to product managers, UX partners, engineers, and designers, using SQL, Looker, Mixpanel, Metabase, Python, or R
Partner with engineering and analytics engineering to implement and QA product event collection with Segment, ensuring events follow naming conventions, are consistently structured, and are modeled for high-quality downstream analytics
audit event coverage to identify gaps and improve the reliability of behavioral data
Conduct deep-dive behavioral analyses (e.g., funnel, cohort, time-to-value, retention, feature adoption) to uncover user needs, friction points, and opportunities to improve the product experience
Synthesize quantitative data with qualitative insights to inform product strategy and shape feature roadmaps
Build frameworks that measure long-term product engagement, user journeys, and the impact of new features on customer outcomes
Collaborate with product teams to design, instrument, and analyze A/B tests and other experimental methodologies
provide interpretation of lift, impact, and risks
Support product discovery by developing hypotheses, generating exploratory analyses, and identifying emergent behavioral patterns

What we offer

bonus-eligible
robust suite of benefits

Fulltime

Senior Data Analyst, Product

Location

United States

Salary:

Not provided

Articulate

Expiration Date

Until further notice

Requirements

Years of experience working with event-level behavioral data
Experience with AI-powered or generative products
Experience analyzing user behavior and adoption of AI-powered features
Experience analyzing AI model performance metrics and downstream user behavioral impact
Authorization to work in the United States for any employer

Fulltime

Senior Data Analyst

Come join our innovative Analytics team to drive deeper understanding to influen...

Location

United States , Plymouth Meeting, PA; New York, NY

Salary:

140000.00 - 170000.00 USD / Year

Credit Genie

Expiration Date

Until further notice

Requirements

5+ years of experience in data analytics, data science or data engineering
Advanced SQL skills and demonstrated ability to work with both structured and unstructured databases
Proficiency in data visualization tools (Tableau, Power BI, or Qlik) to conduct in-depth analysis and present data findings
Master’s degree (Analytics, Marketing, Mathematics, Economics, etc)
Proven understanding of marketing data and how to leverage that to drive valuable insights
Working knowledge in relevant technologies/languages: Python, AWS, Snowflake
Excellent collaboration and partnership skills for working across internal organizations
Strong interpersonal skills and an appreciation of diversity in teamwork
Entrepreneurial spirit. You are self-directed and innovative
you build trust and are biased towards action in fast-paced environments

Job Responsibility

Own the development and delivery of insights that empower product and business stakeholders to make informed, real-time decisions
Design and implement analyses that evaluate product performance, feature adoption, and user behavior across our app and platform
Build and maintain scalable dashboards and reporting frameworks that visualize key metrics and user trends
Partner with Product and Engineering to define success metrics, experiment designs (A/B tests), and data requirements for new features
Diagnose challenges and identify opportunities to improve user engagement, retention, and conversion
Develop and automate recurring data pipelines and processes to ensure accuracy and accessibility of insights
Serve as a thought partner and mentor to junior analysts, promoting a collaborative, data-driven culture

What we offer

Offers Equity
Offers Bonus
Comprehensive medical, vision, and dental coverage
401(k) retirement plan with company match
Short & long term disability insurance
Life insurance
Flexible PTO
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox
401(k) with a 3.5% match and immediate vesting

Fulltime

Senior Data Analyst

We’re looking for a Senior or Lead Data Analyst with deep experience in subscrip...

Location

Salary:

Not provided

Ruby Labs

Expiration Date

Until further notice

Requirements

Strong subscription billing experience is mandatory (payments + renewals + refunds + disputes/chargebacks)
Advanced SQL (complex joins, window functions, incremental logic, performance-aware query writing)
Production experience with ClickHouse: query tuning and data modeling for analytics workloads
Experience building basic ETL/ELT pipelines (scheduling, incremental loads, validation, monitoring)
Git workflow (PRs, code review, versioning of SQL/data logic)
Strong experience building dashboards and visualizations (BI tools or internal dashboards) with a focus on business clarity and metric correctness
Ability to communicate findings clearly to both technical and non-technical stakeholders

Job Responsibility

Build and maintain data pipelines in Tinybird and ClickHouse to power dashboards and self-serve analytics
Optimize ClickHouse queries for performance, correctness
Design and maintain core billing metrics: gross/net revenue, refunds, chargeback rate, dispute rate, approval rate, churn, LTV, MRR/ARR, and cohort retention
Create and iterate on dashboards/visualizations for internal stakeholders (Billing/Finance/Product/Support/Risk)
Investigate anomalies and data-quality issues (e.g., spikes in refunds, rising dispute rates, drops in approval rates), perform root-cause analysis, and propose actions
Partner with engineering on data instrumentation and event tracking to ensure high-quality billing data
Document logic (metric definitions, tables, pipeline behavior) and establish quality checks (tests/monitoring)

What we offer

Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance
Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days
Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge
Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them
Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere

Fulltime

Senior Data Analyst

Ruby Labs is hiring an experienced Data Analyst to join our fast-paced and rapid...

Location

Salary:

Not provided

Ruby Labs

Expiration Date

Until further notice

Requirements

Degree in an analytical field such as Math, Data Science, or Economics
At least 3+ years of work experience as a Data Analyst
Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and insights in large datasets
Excellent verbal communication
Ability to think strategically and make data-driven decisions that align with the organization’s goals
Experience in Product Analytics
Experience with Mixpanel, GA4, Amplitude or similar
Advanced SQL
Experience with popular BI tools such as Tableau, Looker, or similar
Experience in subscription business

Job Responsibility

Partner with Product Owners and Data Teams
Create new dashboards, maintain and improve existing reports such as Product Reports
User behavior analysis, aha moment analysis
Analyze data to generate actionable insights, find trends, patterns, and provide recommendations to maximize KPIs
Monitor metrics
Designing and building robust data models in SQL
Give and receive actionable feedback to and from peers and the Leadership Team

What we offer

Remote Work Environment
Unlimited PTO
Paid National Holidays
Company-provided MacBook
Flexible Independent Contractor Agreement

Fulltime

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Senior Behavioral Data Analyst

Job Description

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