Data Analytics Engineer - Power BI Job at Robert Half (Ankeny)

Senior Data & Analytics Engineer - Snowflake & Power BI

We are looking for a skilled Data Engineer with strong experience in Databricks ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience working as a Data Engineer, Analytics Engineer, or hybrid role
Strong hands-on expertise with Snowflake
Advanced SQL skills with a strong analytical focus
Strong hands-on experience with Power BI (modelling, DAX, Power BI Service)
Experience designing data models specifically for analytics and BI
Ability to work end-to-end across data ingestion, transformation and visualisation
Strong problem-solving skills and attention to data quality
Experience working in cloud data platforms (Azure preferred)
Familiarity with data governance, lineage and documentation concepts
Experience supporting analytics at scale or across multiple teams

Job Responsibility

Design and build scalable Snowflake-based data architectures
Develop and maintain robust data pipelines for ingestion, transformation and aggregation
Write high-quality, performant SQL tailored for analytical workloads
Engineer analytics-ready data models optimised for BI and reporting use cases
Optimise Snowflake performance, cost efficiency and data organisation
Implement data quality checks, monitoring and basic governance controls
Build curated datasets and analytics layers sourced from Snowflake
Design data structures that simplify and accelerate Power BI development
Ensure consistent definitions, metrics and calculations across analytics outputs
Collaborate with stakeholders to translate reporting requirements into data models

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Analytics Engineer- Power BI & SQL

At ResMed, Analytics Engineering is how we make our invaluable data available an...

Location

India , Chennai

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

4+ years of experience in Data & Analytics as an analyst, engineer, or equivalent
3+ years of experience building responsive data visualizations using Power BI, including advanced DAX and data modeling
2+ years of experience designing, implementing, operating, and extending enterprise dimensional models using Analysis Services
2+ years of experience with MS SQL Stack (SSIS, Analysis Services, and Tabular Model Solutions, MDX, DAX)
Hands-on experience with AI-enabled Power BI features like Key Influencers, Anomaly Detection and AI-assisted templates
Solid Knowledge of SQL, Power Query, and ETL processes
Experience building end-to-end BI solutions
Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely
Demonstrated ability to self-manage priorities and workflow
Demonstrated experience creating and developing partnerships with internal team members towards the delivery of impactful analytics solutions

Job Responsibility

Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Design, develop, and extend BI solutions that maximize impact and utility for data users and consumers
Maintain subject matter expertise in the application and usage of our data as well as our analytics technologies and tools
Create interactive dashboards with visualizations like charts, graphs, maps, and tables that effectively communicate complex data patterns, incorporating AI-enabled visuals like Key influencers, Anomaly detection, and decomposition tree
Leverage AI features in Power BI to create dashboards using design guidelines, templates, and requirements provided by the product and design teams to maintain data quality and consistency across reports and dashboards
Use Smart Narrative and AI-driven insights to provide meaningful context and explanations within the dashboards
Provide training and support to end users on navigating and utilizing dashboards and reports, using AI-enabled features, including AI-assisted templates
Stay up to date with PowerBI features and enhancements and implement them across dashboards and reports
Build data models that minimize the cognitive and technical overhead that is required to find and use analytical insights

Fulltime

Bi Analytics Engineer

We are seeking a dedicated BI Analytics Engineer with at least a Bachelor's degr...

Location

United States , Raceland

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Systems, Analytics, Computer Science, Business, or related field
Minimum of 5–8 years in BI or analytics engineering
Strong Power BI and SQL skills
Experience with enterprise reporting

Job Responsibility

Design, develop, and maintain Power BI dashboards, reports, and datasets supporting enterprise operations and leadership reporting
Build and manage semantic models, KPI definitions, and reporting standards
Translate business requirements into scalable analytics and visualization solutions
Develop reporting solutions that balance usability, performance, scalability, and governance requirements
Collaborate with Data Engineering teams to ensure reliable and accurate data availability
Partner with business stakeholders to define metrics, reporting requirements, and analytical needs
Optimize dashboard performance, data models, and report usability
Support enterprise self-service analytics capabilities and user adoption
Maintain documentation for reports, data definitions, and analytics standards
Assist with troubleshooting reporting issues and validating data accuracy

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Fulltime

Cost Engineer – Data Analytics

The Program and Purchase Cost Optimization (PPCO) team at General Motors is seek...

Location

United States , Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Ability to translate ambiguous business questions into well-defined analytical and data engineering problems, and communicate findings and recommendations in a clear, structured manner to technical and non-technical stakeholders
Bachelor’s degree in computer science, engineering, statistics, mathematics, physics, or a related quantitative field (advanced degree preferred)
5+ years in data analytics (could be data science, research, or machine learning)
Python proficiency (e.g., pandas, NumPy, scikit-learn, PySpark)
SQL proficiency
Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data processing
Experience designing and implementing ETL/ELT pipelines that integrate data from multiple transactional and analytical systems
Strong skills in EDA to understand data quality, structure, and relationship
Practical experience developing predictive models and machine learning (regression methods, Clustering and segmentation, random forests, gradient boosting)
Solid problem-solving skills and the ability to convert business questions into data and modeling problems with clear hypotheses and success criteria

Job Responsibility

Design and maintain data models and curated datasets (relational schemas, dimensional models, and feature characterizations) that support PPCO analytics and efficient downstream consumption for reporting in tools such as Power BI (while not being primarily responsible for dashboard design)
Query, integrate, and engineer data from multiple enterprise systems and relational databases, and design, build, and operate robust ETL/ELT pipelines (e.g., Databricks/Spark) to produce unified, analysis-ready datasets with appropriate data quality checks, validation, and monitoring
Perform in-depth EDA on large, heterogeneous datasets, engineer derived features (characterizations, aggregations, encodings), and understand data distributions, identify anomalies, and uncover data quality risks and insight to address by the business team
Develop and validate predictive machine learning models and descriptive models (regression, clustering, decision trees, random forests, gradient boosting, time-series/panel models), utilizing existing data to predict product attributes (geometries, cost, economic indicators) from known input parameters and historical patterns
Enable system integration across the GM ecosystem by designing the data pipelines, workflow automation and data transformation to take data from one system and turning it into a consumable format for the destination system
Automate and optimize existing cost engineering workflows by building scalable, Python-based data and analytics tools
Work across functional boundaries, including Engineering, Program Management, R&D, Finance, and Purchasing, to understand data sources, business logic, and use case

Fulltime