Senior Data Analyst

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

Kosovo , Prishtine

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

5+ years of experience in a data analyst or business intelligence role
Proven ability to work with large datasets and design reporting that influences decision-making
Expertise in Power BI (or similar BI tools) with strong data modeling skills
Advanced SQL skills for querying, manipulation, and analysis
Strong analytical thinking, attention to detail, and problem-solving capabilities
Ability to translate complex insights for both technical and non-technical audiences
Experience or interest in Python, cloud data platforms (AWS, Snowflake, etc.), and AI/ML concepts
Curiosity—you continuously dig deeper to uncover the “why” behind the data
Resilience—you thrive in a fast-paced, evolving environment
Adaptability—you are comfortable shifting priorities and solving ambiguous problems

Job Responsibility

Deliver analyses that drive clarity, influence strategic decisions, and shape business priorities
Build, enhance, and maintain Power BI dashboards that inspire confident and timely action
Ensure data accuracy, consistency, and reliability across large, complex data sets
Write efficient SQL queries to extract, clean, and analyze high-volume datasets
Translate ambiguous business questions into well-structured, actionable analytical output
Strengthen data governance and promote trusted reporting throughout the organization
Partner closely with cross-functional teams to align insights with goals and outcomes
Support ad hoc analytical needs with clear, concise, and impactful findings
Identify and implement improvements to analytics workflows for faster insights at scale
Contribute to AI-enabled analytics efforts by exploring predictive trends and data patterns

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Unlimited PTO
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Senior Data Analyst

The selected candidate will be responsible for leading data analysis projects, a...

Location

Portugal , Lisbon

Salary:

Not provided

Egor

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Business Analytics, or similar areas (Master’s preferred)
Minimum of 10 years of experience in data analysis roles, with at least 5 years in senior or leadership positions
Proficiency in SQL, Python, R, or equivalent languages for data analysis and processing
Strong experience with visualization tools such as Tableau or Power BI
Solid knowledge of Big Data technologies, ETL processes, and Cloud platforms (AWS, Google Cloud, Azure)
Ability to apply machine learning techniques and statistical models

Job Responsibility

Leading data analysis projects to identify patterns, trends, and insights within large and complex data sets
Applying statistical techniques and predictive models to solve business problems, support strategic decision-making, and forecast outcomes
Developing interactive reports and dashboards that clearly communicate findings to various stakeholders (both technical and non-technical)
Designing and implementing data collection, cleaning, and transformation processes to ensure data integrity and accuracy
Building and maintaining automated reporting systems to monitor KPIs and performance metrics
Working with visualization tools such as Tableau or Power BI to present data in a clear and engaging manner
Collaborating with marketing, sales, finance, and product teams to understand their needs and translate data into practical recommendations
Supporting the continuous improvement of data analytics processes and organizational best practices
Mentoring junior analysts and contributing to the development of a data-driven culture

What we offer

Opportunity to join a leading company in its sector

Senior Data Engineer - Platform Enablement

SoundCloud empowers artists and fans to connect and share through music. Founded...

Location

United States , New York; Atlanta; East Coast

Salary:

160000.00 - 210000.00 USD / Year

SoundCloud

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, analytics engineering, or similar roles
Expert-level SQL skills, including performance tuning, advanced joins, CTEs, window functions, and analytical query design
Proven experience with Apache Airflow (designing DAGs, scheduling, task dependencies, monitoring, Python)
Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
Knowledge of data governance, schema management, and versioning best practices
Understanding observability practices: logging, metrics, tracing, and incident response
Experience deploying and managing services in cloud environments, preferably GCP, AWS
Excellent communication skills and a collaborative mindset

Job Responsibility

Develop and optimize SQL data models and queries for analytics, reporting, and operational use cases
Design and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, scalability, and data integrity
Collaborate with analysts and business teams to translate data needs into efficient, automated data pipelines and datasets
Own and enhance data quality and validation processes, ensuring accuracy and completeness of business-critical metrics
Build and maintain reporting layers, supporting dashboards and analytics tools (e.g. Looker, or similar)
Troubleshoot and tune SQL performance, optimizing queries and data structures for speed and scalability
Contribute to data architecture decisions, including schema design, partitioning strategies, and workflow scheduling
Mentor junior engineers, advocate for best practices and promote a positive team culture

What we offer

Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
Robust 401k program
Employee Equity Plan
Generous professional development allowance
Creativity and Wellness benefit
Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
Various snacks, goodies, and 2 free lunches weekly when at the office

Fulltime

Senior Data Engineer

As a Senior Data Engineer on our Core Engineering Data Team, you will design and...

Location

United States , Boston

Salary:

111800.00 - 164000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
Strong knowledge of Python for use in data transformation
Hands-on experience with ETL/ELT, schema design, and datalake technologies
Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
Identify areas for improvement and contribute to centralized data platform
Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
Optimize table structures to support query and usage patterns
Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
Support data discovery, catalog, and analytics tooling
Implement and maintain data security measures and ensure compliance with data governance policies
Design and implement testing strategies and data quality validation to ensure the accuracy, reliability, and integrity of data pipelines
Contribute to the formation of our new team, assisting with the development of team norms, practices, and charter

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Senior Data Engineer

At Relatient, we’re on a mission to simplify access to care – intelligently. As ...

Location

India , Pune

Salary:

Not provided

Relatient

Expiration Date

Until further notice

Requirements

Bachelor's degree, B.E./ B. Tech, computer engineering, or equivalent work experience in lieu of a degree is required, Master’s degree preferred
7+ years of experience in database engineering, data warehousing, or data architecture
Proven expertise with at least one major data warehouse platform (e.g. Postgres, Snowflake, Redshift, BigQuery)
Strong SQL and ETL/ELT development skills
Deep understanding of data modeling
Experience with cloud data ecosystems (AWS)
Hands-on experience with orchestration tools and version control (Git)
Experience in data governance, security, and compliance best practices
Experience building/generating analytical reports using Power BI

Job Responsibility

Architect, design, and implement robust end-to-end data warehouse (DW) solutions using modern technologies (e.g. Postgres or on-prem solutions)
Define data modeling standards (dimensional and normalized) and build ETL/ELT pipelines for efficient data flow and transformation
Integrate data from multiple sources (ERP, CRM. APIs, flat files, real-time streams)
Develop and maintain scalable and reliable data ingestion, transformation, and storage pipelines
Ensure data quality, consistency, and lineage across all data systems
Analyst and tune SQL queries, schemas, indexes, and ETL process to maximize database and warehouse performance
Monitor data systems and optimize storage costs and query response times
Implement high availability, backup, disaster recovery, and data security strategies
Collaborate with DevOps and Infrastructure teams to ensure optimal deployment, scaling, and performance of DW environments
Work closely with Data Scientists, Analysts, and Business Teams to translate business needs into technical data solutions

What we offer

INR 5,00,000/- of life insurance coverage for all full-time employees and their immediate family
INR 15,00,000/- of group accident insurance
Education reimbursement
10 national and state holidays, plus 1 floating holiday
Flexible working hours and a hybrid policy

Fulltime

Senior Data Engineer

As a Senior Data Engineer at Corporate Tools, you will work closely with our Sof...

Location

United States

Salary:

150000.00 USD / Year

Corporate Tools

Expiration Date

Until further notice

Requirements

Bachelor’s (BA or BS) in computer science, or related field
2+ years in a full stack development role
4+ years of experience working in a data engineer role, or related position
2+ years of experience standing up and maintaining a Redshift warehouse
4+ years of experience with Postgres, specifically with RDS
4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions
Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies
Experience working with both analytical and transactional databases
Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases
Experience with Grafana or other monitoring/charting systems

Job Responsibility

Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech)
Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources
Consume data from roughly 40 different sources
Collaborate closely with our Data Analysts to get them the data they need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Improve existing data models while implementing new business capabilities and integration points
Creating proactive monitoring so we learn about data breakages or inconsistencies right away
Maintaining internal documentation of how the data is housed and transformed
Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools
Stay current with latest cloud technologies, patterns, and methodologies

What we offer

100% employer-paid medical, dental and vision for employees
Annual review with raise option
22 days Paid Time Off accrued annually, and 4 holidays
After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
Paid Parental Leave
Up to 6% company matching 401(k) with no vesting period
Quarterly allowance
Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
Open concept office with friendly coworkers

Fulltime

Senior Data Warehouse Administrator

We are looking for a Senior Data Warehouse Administrator to bolster our expandin...

Location

India , Pune

Salary:

Not provided

FloQast

Expiration Date

Until further notice

Requirements

5–8 years of experience as a Data WareHouse Administrator or Data Platform Engineer
Expert-level knowledge of Data WareHouse administration
Proven experience with CDC tools, FiveTran, CData or similar ELT tools (e.g., Stitch, Airbyte)
Strong understanding of SQL tuning, partitioning, and query optimization
Deep knowledge of data warehousing concepts and modern data platforms
Experience with CI/CD, infrastructure-as-code (e.g., Terraform), and monitoring tools
Familiarity with data modeling (star/snowflake schemas) and governance practices
Strong scripting skills in Python or Bash for automation

Job Responsibility

Design, implement, and maintain scalable and secure data warehouse environments
Optimize data warehouse performance, including fine-tuning complex SQL queries, managing indexing, and monitoring workloads to ensure peak efficiency
Lead all administration tasks, encompassing user access control, Role-Based Access Control (RBAC), schema design, partitioning strategies, and ongoing cost optimization
Manage and monitor data ingestion pipelines, ensuring reliable ETL/ELT processes and demonstrating awareness of Change Data Capture (CDC) tools for efficient data flow
Collaborate closely with data engineers and data analysts to design and implement efficient data models and robust data transformations
Contribute significantly to our modern data lake architecture, specifically leveraging Apache Iceberg for data organization and schema evolution
Implement and enforce data governance and compliance policies across the data warehouse and data lake environments
Tooling and Automation: Building and maintaining tools to automate common administrative tasks, such as table compaction, data expiration policies, and health checks
Lead troubleshooting and Root Cause Analysis (RCA) efforts for critical data issues, ensuring rapid resolution and preventing recurrence
Mentor junior data warehouse administrators and actively share best practices across the broader data and engineering teams

Fulltime

Sr Data Analyst

Resource Informatics Group, Inc. is actively seeking a skilled Sr Data Analyst t...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and six (6) years of experience in Data Analytics
Alternatively, a Master’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and three (3) years of experience in Data Analytics
Required skills include experience in SQL, Tableau, Python, data analysis, Unix scripting, AWS, Jira, Software Development Life Cycle (SDLC), Agile, and PL/SQL
Expertise in Machine Learning and Data Science, along with strong problem-solving capabilities and collaboration skills, is essential

Job Responsibility

Developing Python scripts to automate validations for data quality and quantity
Creating and maintaining automation scripts using Python and Linux Shell Scripting for platform maintenance activities and health checks
Extracting data from Salesforce Cloud and ensuring adherence to PRD specifications
Reconciling data between source and target tables, ensuring data consistency, accuracy, and integrity
Analyzing client data files and Developing procedures for preparing, transforming, and cleansing data prior to analysis
Generating and documenting reports using Python, SQL, Excel and Extracting data from disparate sources using technologies like Snowflake and Redshift
Creating scripts in Databricks to migrate the data from various sources to Data Warehouse
Performing data cleaning, transformation, enrichment and Utilizing data mining techniques on data for analysis
Design metrics and build dashboards in Tableau to track customer behavior, KPIs, and marketing effectiveness
create PL/SQL reports and should be moving them to AWS Redshift

Fulltime

Senior Data Analyst - AWS Platform

NTT DATA

Location:
United States , Pittsburgh

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 03, 2026

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