Sr. Data Analyst

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

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

Sr Data Engineer

The Senior Data Engineer role involves leading data architecture and modernizati...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong expertise in Azure and Databricks
Focus on data modeling and integration
Azure
Databricks
Data Modeling
Team Leadership
Client Interviews
SQL

Job Responsibility

Engage heavily with business users across North America and Europe, facilitating workshops and data discovery sessions
Drive consensus on business rules, data definitions, and data sources, especially where regional processes differ
Serve as the architectural thought leader enabling teams to transition from manual, inconsistent processes to standardized, modernized workflows
Partner closely with business analysts, data analysts, product owners, and engineering teams across multiple geographies
Architect a unified master stitched data model to replace downstream reliance on Varicent for data assembly
Lead the re‑architecture of compensation data processing—including internal and external compensation flows—into a scalable, cloud‑native Azure environment
Define patterns, frameworks, and integration strategies across Azure services (Data Factory, Databricks, Data Lake, SQL, etc.)
Evaluate and evolve the use of rules engines/ODM/Drools to externalize and modernize embedded business logic currently locked in application code
Guide decisions to shift logic and data ownership into enterprise‑owned systems rather than third‑party tools
Analyze current‑state processes (38 in NA, 9 in Europe) and identify opportunities for re‑engineering, automation, and consolidation

Sr Data Engineer

The Senior Data Engineer will lead data architecture and modernization initiativ...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum of 7 years of experience in data engineering and related fields
Strong technical skills in data modeling and SQL
Leadership capabilities to drive cross-functional collaboration
Skills in Azure, Databricks, Data Modeling, Team Leadership, Client Interviews, SQL

Job Responsibility

Engage heavily with business users across North America and Europe, facilitating workshops and data discovery sessions
Drive consensus on business rules, data definitions, and data sources, especially where regional processes differ
Serve as the architectural thought leader enabling teams to transition from manual, inconsistent processes to standardized, modernized workflows
Partner closely with business analysts, data analysts, product owners, and engineering teams across multiple geographies
Architect a unified master stitched data model to replace downstream reliance on Varicent for data assembly
Lead the re‑architecture of compensation data processing—including internal and external compensation flows—into a scalable, cloud‑native Azure environment
Define patterns, frameworks, and integration strategies across Azure services (Data Factory, Databricks, Data Lake, SQL, etc.)
Evaluate and evolve the use of rules engines/ODM/Drools to externalize and modernize embedded business logic currently locked in application code
Guide decisions to shift logic and data ownership into enterprise‑owned systems rather than third‑party tools
Analyze current‑state processes (38 in NA, 9 in Europe) and identify opportunities for re‑engineering, automation, and consolidation

Sr. Manager, Commercial IT Solutions Delivery – Data

The Sr. Manager, Commercial IT Solutions Delivery – Data is a hands-on technical...

Location

United States , San Rafael

Salary:

132800.00 - 182600.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

8+ years of experience in Commercial IT, Data Engineering, or Enterprise Data Solutions delivery
Strong knowledge of ETL/ELT pipelines, integration tools, orchestration frameworks, and cloud platforms
Demonstrated ability to lead cross-functional initiatives and collaborate with business partners, technical teams, and external vendors
Experience working in regulated environments

Job Responsibility

Data Platform & Architecture Execution: Support strategy implementation and delivery for commercial data platforms including Databricks, cloud data pipelines, and CRM/omnichannel integrations
Modernize legacy data infrastructure and execute scalable, high-volume data workflows aligned with BioMarin’s digital roadmap
Work with enterprise architecture and data engineering teams to contribute to compliant, resilient end-to-end data ecosystem designs
Data Management & Integration: Manage ingestion, processing, transformation, and quality of data across Salesforce Life Sciences Cloud, Veeva CRM, ERP, and related systems
Design and maintain ETL/ELT frameworks, middleware, and secure/validated data transfer mechanisms at scale
Ensure data integrity, harmonization, and adherence to regulatory-aligned governance standards
Stakeholder & Cross-Functional Partnership: Translate business needs into actionable data and integration solutions by partnering with Commercial Operations, Marketing, Patient Services, Field teams, Finance, and others
Collaborate with Salesforce Administrators, Developers, Business Analysts, and Product Owners to deliver high-impact commercial capabilities
Serve as a technical point of contact for data-related dependencies supporting CRM, digital engagement, and analytics programs
Program Execution & Delivery Excellence: Execute end-to-end delivery of data-centric projects including requirements, architecture alignment, build, validation, deployment, and hypercare

What we offer

company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives
paid time off

Fulltime

Sr Data Scientists

Sr Data Scientists is located in Frisco, TX and will support teams’ mission to p...

Location

United States , Frisco

Salary:

141773.00 - 155000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 5 years of relevant work experience
Master’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 3 years of relevant work experience
Experience in developing and deploying predictive models, advanced machine learning, deep learning, NLP, and generative AI solutions by applying a wide range of algorithms
Experience in developing solutions using Python, PySpark, SQL, and R, with libraries LangChain, LangGraph, Keras, Pandas, NumPy, SciPy, Matplotlib, and Scikit-Learn
Experience in working with data querying, wrangling, cleaning, and feature engineering across relational and non-relational databases: SQL, Snowflake, and Redshift in big data environments: Azure, AWS, and GCP, and leveraging Spark, Hadoop, Hive, and Kafka
Experience in building CI/CD pipelines, automating training and retraining workflows, deploying inference services, and monitoring ML algorithms in production environments in Databricks using tools: MLflow, and cloud-native services
Experience in articulating and reframing business problems, applying statistical and advanced analytics techniques in Python, R, and SQL, and leveraging SciPy, Scikit-Learn, and PySpark to generate actionable insights and recommendations
Experience in delivering impactful, data-driven presentations and effectively communicating machine learning and analytical concepts to technical teams, business stakeholders, and senior leadership, supported by visualizations created in Tableau, Power BI, Matplotlib, and Seaborn
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members
Design advanced analytics to solve business problems
preprocess and perform exploratory data analysis on structured and unstructured data
create features based on expertise in the domain
use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams
Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts
Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Annual bonus or periodic sales incentive or bonus
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays

Fulltime

New

Principal Software Engineer - Machine Learning. This Principal role is vital to ...

Location

United States , Dallas

Salary:

125000.00 - 130000.00 USD / Year

Tech Mahindra

Expiration Date

March 31, 2026

Requirements

Bachelor’s or Higher Degree
8.00 to 10.00 Years total experience
Expertise in Python, SQL, Databricks, Snowflake, Palantir Foundry, Docker, Kubernetes under a distributed cloud environment
Familiarity with JVM-based function languages including Scala and Java
Familiarity with Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading
Familiarity with Apache Flink computing frameworks including Spark/Databricks and IBM InfoSphere Streams
Programming Languages: Python, SQL, Java/Scala, shell-scripting
Cloud Technologies: Azure ML, Databricks, Snowflake and Palantir Foundry
DevOps: Docker, Azure Kubernetes Service (AKS), Jenkins, CI/CD, Git
ML Frameworks: Numpy, Pandas, Scikit-learn, OpenCV, TensorFlow, PyTorch, Hugging Face's Transformers, Spacy & NLTK

Job Responsibility

Model Development and Training: Select and implement appropriate machine learning algorithms
Feature Engineering: Develop and transform features from raw data
Model Training: Train machine learning models using historical data
Model Evaluation and Tuning: Evaluate model performance
Hyperparameter Tuning
Cross-Validation
Model Deployment and Integration: Deploy machine learning models into production
API Development
Integration with existing systems
Monitoring and Maintenance: Monitor performance of deployed models

What we offer

medical
vision
dental
life
disability insurance
paid time off (including holidays, parental leave, and sick leave)

Fulltime

!

New

Strategy Analyst

Strategy Analyst position at CSGM a.s. Provide analytical expertise across strat...

Location

Czech Republic , Praha - Karlín

Salary:

Not provided

Sport Vision Czechia s.r.o.

Expiration Date

Until further notice

Requirements

Master’s degree (or equivalent) in Finance, Business, Economics, Engineering, or a related field
Ideally 2–5 years’ experience in strategy consulting, corporate development, investment banking, or analytical roles
Strong proficiency in financial modeling, data analysis, and Excel/PowerPoint
Excellent research skills, with the ability to synthesize complex datasets
Comfortable working in cross-functional teams and managing projects under tight deadlines
Ability to distill technical or market data into actionable insights for executive audiences
Strong English communication skills
Detail-oriented, structured, and intellectually curious
Quick learner with strong problem-solving skills and analytical rigor
Collaborative and adaptable, thriving in small, high-performing teams

Job Responsibility

Provide analytical expertise across strategy and transformation projects
Financial modeling, market research, benchmarking
Support the CSO in answering ad-hoc CEO/Board strategic questions
Develop executive presentations
Build and maintain financial models (business cases, scenario analyses) to support strategic decision-making
Conduct in-depth market research, competitive benchmarking, and industry analysis
Translate complex data into clear insights and actionable recommendations for senior stakeholders
Prepare high-quality executive presentations and materials for the CEO, Board, and leadership team
Support the Chief Strategy Officer (CSO) in addressing ad-hoc strategic questions and priority topics
Collaborate with cross-functional teams to gather data and drive project execution

Fulltime

Sr. Data Analyst - Databricks

Robert Half

Location:
United States , Atlanta, GA ▼
Smyrna/Vinings

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 08, 2026

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