analytics engineer

Casey's

<div>Join Casey&rsquo;s Analytics Solutions team as an Analytics Engineer, where you&rsquo;ll design, build, and operate enterprise-grade semantic models and Power BI solutions that power trusted insights across the organization. This role sits at the intersection of data engineering, analytics, and BI platform development. Rather than focusing on ad-hoc analysis, the Analytics Engineer is responsible for building scalable, high-performance Power BI semantic models, optimizing refresh and query performance, and enabling self-service analytics at scale. You&rsquo;ll partner closely with Data Engineering, business stakeholders, and analytics consumers to turn complex data into durable analytical products using best-in-class Power BI modeling, DAX, and platform practices. 
Key Responsibilities:
<ul>
<li>Design, build, and maintain enterprise-grade Power BI semantic models that serve as trusted analytical foundations across multiple business units</li>
<li>Contribute to data modeling strategy for analytics use cases, including dimensional modeling, star schemas, and business metric standardization</li>
<li>Develop and optimize DAX measures, calculation groups, and model relationships with a focus on performance, maintainability, and semantic clarity</li>
<li>Implement and tune incremental refresh, partitions, aggregations, and query optimization to support large-scale datasets and enterprise workloads</li>
<li>Partner with Data Engineering to ensure upstream data models are optimized for analytical consumption and Power BI performance</li>
<li>Establish and enforce Power BI best practices across modeling, naming conventions, security (RLS), and dataset lifecycle management</li>
<li>Support self-service analytics by delivering well-documented, governed semantic models that minimize reporting complexity</li>
<li>Build and scale the enterprise analytics workforce through training, certification programs, technical communities, knowledge sharing, standards, and best practices</li>
<li>Provide oversight and consulting recommendations to Power BI-enabled Analysts within business unit analytics functions</li>
</ul>
What you can expect when you join the Casey's Team:
<ul>
<li>A transformative culture putting service first and taking pride in caring for our guests, our communities, and each other.</li>
<li>Opportunities to use cutting edge technologies and enterprise-wide collaboration to enable our strategy and drive world class service.</li>
<li>We're here for families! Great benefits including choices in medical plans, dental, vision, life insurance, employee stock purchase program, charitable giving programs, parental leave and an onsite Child Development Center.</li>
<li>Competitive pay, 401k company match up to 6%, vacation &amp; sick time, paid holidays, volunteer time, and an onsite cafeteria.</li>
<li>Dress for your day dress code, jeans are welcomed!</li>
<li>The opportunity to work for a big company that has not lost our small company feel. Our senior leadership team is engaged, involved and accessible!</li>
</ul>
What are you waiting for? Come be a part of a company that is growing, transforming and is here for good!

Compensation:

Starting pay range:&rlm;&rlm;&lrm; $81,200&rlm;&rlm;&lrm; &lrm;-&rlm;&rlm;&lrm; &lrm;$111,700.&rlm;&rlm;&lrm; Actual pay may vary based on Casey&rsquo;s assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company.</div>
 
<div>Requirements:
<ul><li>Bachelor's degree in Computer Science, Analytics, Engineering, Information Technology, or equivalent years of related work experience</li>
<li>3&ndash;5+ years of experience in analytics engineering, BI engineering, or semantic data modeling</li>
<li>Advanced Power BI expertise, with deep experience in:
<ul><li>Semantic model design</li>
<li>DAX (including performance tuning)</li>
<li>Power Query (M)</li>
<li>Row-level security (RLS)</li>
</ul></li><li>Strong foundation in dimensional modeling (facts, dimensions, star schemas)</li>
<li>Proven experience optimizing Power BI performance, including query plans and refresh strategies</li>
<li>Proficiency with SQL and working with analytical data platforms</li>
</ul>
Preferred Technical Experience:
<ul>
<li>Experience with Power BI companion tools such as Tabular Editor, DAX Studio, and ALM Toolkit</li>
<li>Familiarity with source control and deployment pipelines for BI assets (Azure DevOps, GitHub)</li>
<li>Experience working with cloud data platforms and lakehouse architectures (Databricks strongly preferred; Snowflake or BigQuery acceptable)</li>
<li>Understanding of CI/CD patterns and environment promotion for semantic models</li>
<li>Exposure to large datasets and enterprise BI governance practices</li></ul></div>

Analytics Engineer

Bird Rides

<div>Bird launched micromobility. Now we're shaping its future.

We're Bird, and we're on a mission to transform the way the world moves one ride at a time. Our products, services, and people share one common goal: to make cities more livable by empowering people and communities everywhere to move freely, discover new possibilities, and create a cleaner, more connected future. To cleaner air. To calmer streets. To cities built for people.

Who We Are

Bird is a global leader in micromobility, dedicated to shaping the future of urban movement. Our cleaner, affordable, and on-demand mobility solutions are available in over 200 cities worldwide.

We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates, leveraging our experience and safety-first technology to help them meet their shared mobility and climate goals and provide a reliable, affordable, and responsible transportation option for people who live and work there.

Our award-winning electric vehicles have empowered more than eighty-seven million rides in cities around the world and helped riders take carbon-free trips in more than 200 cities globally. And our teams are constantly pushing boundaries and challenging the status quo in pursuit of a brighter future.

Job Summary

The Data Team at Bird is an integral component of every facet of the business from strategic initiatives to tactical effectiveness, and is a key resource in developing Bird's product and processes. As an Analytics Engineer, you will lead data pipeline, data modeling, architecture and data strategy-related efforts for the Data team at Bird working in close partnership with the engineering team. You're a seasoned analytics professional and engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service reporting and discovery. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions. You will work closely with cross-functional partners such as engineering, ops and finance to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Bird team to drive business strategy.

Responsibilities
<ul>
<li>Design and implement understandable data models that support flexible querying and data visualization</li>
<li>Instrument algorithms and machine learning pipelines from complex business requirements</li>
<li>Advance automation efforts that help the team spend less time manipulating &amp; validating data and more time analyzing it</li>
<li>Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value</li>
<li>Own the creation and support of internal data architecture and governance standards and best practices</li>
<li>Lead the selection, implementation, optimization, and integration of data tools</li>
<li>Rapidly deliver on concepts through prototypes that can be presented for feedback</li>
<li>Train fellow employees on best practices for data standards, DAGs, code, documentation and visualization and help others act as successful stewards of our internal tools</li>
</ul>
Must Haves
<ul>
<li>Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution</li>
<li>2-3+ years of relevant experience in data engineering</li>
<li>Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases</li>
<li>Experience with big-data technologies (e.g. Spark, Kafka, Hive)</li>
<li>Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records</li>
<li>Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats</li>
<li>Proficiency with Git (or similar version control) and CI/CD best practices</li>
<li>Experience in managing workflows using Agile practices</li>
</ul>
Highly Desired
<ul>
<li>MS or higher in a quantitative field (CS, Engineering, Math, Stats, Finance) from a top-tier institution.</li>
<li>Proven ability to build complex reports and dashboards using tools like Tableau or Looker.</li>
<li>Deep understanding of data warehouse architecture and data design principles.</li>
<li>Ability to translate complex technical asks into clear documentation and compelling data stories for any audience.</li>
<li>A self-starter who thrives in ambiguity and can manage projects independently from ideation to execution.</li>
<li>A growth mindset focused on seizing opportunities to optimize products, business processes, and team knowledge.</li>
<li>A dedicated team player who delivers timely, high-quality work and expects the same from their peers.</li>
</ul><h3 class="jobSectionHeader">Why Bird Matters</h3>

Every time you hop on a Bird, you're helping build a more livable city. We focus on four core pillars that reflect the impact of every ride:
<ul>
<li>Freedom: We're the bridge that connects you to every experience&mdash;simple, convenient, and stress-free. We give you the freedom to move without limits.</li>
<li>Exploration: We turn everyday trips into memorable experiences, sparking discovery and wonder as you connect with the world around you.</li>
<li>Community: Taking a Bird is an act of citizenship. We create a sense of belonging and unity, knowing that the richer our communities become, the richer our lives become.</li>
<li>Sustainability: Our electric vehicles reduce gas-powered car usage and lower carbon emissions. We enable responsible choices, creating tangible impact and driving progress toward a cleaner future.</li>
</ul>
Culture at Bird

We're an ambitious, smart, and open-minded team that is passionate about our mission. Each day is unlike the last, as we're constantly moving forward, challenging each other, and working together to create the future of micro-mobility.

Perks Up!

We want you to succeed and thrive here, so we offer a few sweet perks:
<ul>
<li>Plenty of time off to relax and recharge, plus a wellness resource to help you wind down.</li>
<li>A work-from-home stipend.</li>
<li>An employer-paid healthcare package.</li>
<li>Of course, Bird ride credits to get you where you need to be!</li>
</ul>
Bird is the world

Bird stands for a culture of inclusion. We celebrate different backgrounds, experiences, and perspectives &mdash;encouraging everyone to bring their authentic selves to work. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions.

For these reasons and more, Bird is a proud equal employment opportunity employer. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment.

Sound like a place you'd like to work? Sweet. Let's chat.

#LI-Remote</div>

Avetta

<div>If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis.

SUMMARY

Avetta's SaaS platform connects the world's leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning across a wide range of industries.

The Analytics Engineer (Finance) within Avetta's Financial Planning &amp; Analysis (FP&amp;A) team will serve as a critical partner in driving insights that influence executive decisions and operational efficiency. This role will collaborate across Finance, Billing, Sales Operations, Business Intelligence, and Leadership teams to gather valuable insights and data, and optimize complex revenue analytics and planning processes to improve the accuracy and quality of the revenue forecast and reporting.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
<ul>
<li> Raise the Company's FP&amp;A Cash Billings analytics &amp; reporting function by optimizing:
<ul><li>Trace and join invoicing and customer-activity events end-to-end using clear, testable logic.</li>
<li>Design and build out an analytically-derived &quot;Connection Subscription Ledger&quot;: a detailed, time-aware log of monetized (billable) client&ndash;supplier connections, morphing into a handoff-ready dataset that Corporate BI productionizes in Snowflake.</li>
</ul></li><li>Build analytics-ready warehouse models (SQL + modeling):
<ul><li>Write high-performance SQL to create curated tables/views that support:
<ul><li>Cohort creation and retention (by activation/event timing).</li>
<li>Expansion/contraction and product mix shifts.</li>
<li>Renewal behavior and customer lifecycle segmentation.</li>
<li>Price lift measurement and attribution.</li>
<li>Churn classification and event-driven &quot;bridge&quot; logic.</li>
</ul></li><li>Establish foundational tables with carefully chosen and clearly defined data grain, durable surrogate/primary keys, and consistent dimensional attributes.</li>
</ul></li><li>Bring data modeling rigor into Finance reporting:
<ul><li>Translate finance requirements into data logic: partner with the Business Analyst to define rules, acceptance criteria, and edge-case handling.</li>
<li>Run tight iteration loops: prototype validation protocols refine document finalize.</li>
<li>Provide &quot;definition control&quot; so recurring reporting stays consistent month-over-month.</li>
</ul></li><li>Foster a wholistic understanding of the business (including underlying drivers and relationship/impact) within and across the entire FP&amp;A team, leading to improved processes, collaboration, insight generation and optimal business outcomes.
</li><li>Develop and monitor business performance indicators, highlighting trends, opportunities for improvement, causes of unexpected variance, and partner with finance and business partners to optimize downstream actions.</li>
</ul>
PREFERRED QUALIFICATIONS, IDEAL EDUCATION AND TRAINING:
<ul>
<li>Bachelor's Degree in relevant field; additional education/certification is a plus.</li>
<li>2&ndash;5 years of experience in data engineering / analytics engineering / advanced analytics roles in Snowflake or other modern cloud data warehouse.</li>
<li>Strong SQL (complex joins, window functions, incremental logic, recursive query development, performance tuning), with proven ability to model data for analytics (facts/dimensions, grain, keys, cohort logic).</li>
<li>1 year of experience supporting dbt-style modular SQL, testing, and documentation.</li>
<li>Proficiency in AI-based tech stack solutions, agent design or company-specific LLM tooling.</li>
</ul>
METRICS THAT MATTER:
<ul>
<li>Understanding of business, the why (not just the what), and numbers.</li>
<li>Accuracy of analysis and inputs that slide into strategic decisions</li>
<li>Turnaround time, flexibility to adjust to changing environment / business needs, and leveraging of systems.</li>
<li>Consistent delivery with an ownership mentality.</li>
<li>Customer delight with supporting active engagement with cross-functional leaders.</li>
</ul>
At Avetta, we are committed to salary transparency to ensure equitable hiring practices and promote trust. The salary range included in this job posting is based on internal and market data and the role's responsibilities. The final compensation offered to a candidate will be determined by several factors, including work location, job-related skills, experience, and relevant education or training.

The salary range for this position is $74,000 - $143,000 USD per year, with a potential bonus.

We also offer a comprehensive benefits package, which includes health, dental and vision insurance, 401(k), and PTO.

Avetta is an equal opportunity employer and values diversity. We encourage individuals from all backgrounds and experiences to apply.

To apply for the Analytics Engineer position, please submit your online application by May 31, 2026.

#LI-REMOTE</div>

Analytics Engineer (Finance)

Train With Ellie

<div>About Owner.com
Owner is the AI growth system for local restaurants. 
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts. 
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online. 
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. 
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type. 
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website. 
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. 
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location. 
Why we&rsquo;re looking for you 
We are building a scalable, modern Data Platform at Owner.com. As a GTM Analytics Engineer, you will play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization, with a focus on go-to-market solutions. You will be instrumental in building SSOT models in DBT &amp; Snowflake, maintaining robust, scalable data pipelines, and enhancing our data infrastructure to support analytics and data-driven decision-making. 
This role is 100% remote and can be based anywhere in the United States or Canada.
The impact you will have<ul><li>
Design and implement scalable, efficient Data Products that drives business value within our GTM product. Examples include sales heatmap &amp; overall efficiency; quotas &amp; attainment; revenue attribution; marketing attribution; marketing spend efficiency; Reverse ETL from product to SFDC.</li><li>
Collaborate with stakeholders and GTM data scientists to understand business requirements and translate them into clear, actionable data outputs through effective data modeling.</li><li>
Improve time to insight by preparing SSOT data models as a core input for analysis in Sigma, our preferred BI tool.</li><li>
Optimize data pipeline systems from a variety of sources, ensuring data is accurate, timely, and consistent, Sample tools: hubspot, salesforce, talkdesk, marketing platforms. Make sure our Product / backend systems have a proper linkage with GTM systems.</li><li>
Improve GTM data quality, sharing data integrity guidelines, highlighting current issues, and collaborating with different stakeholders on implementation of proper fixes.</li></ul>
Who you&rsquo;ll work with<ul><li>
This role reports to our Director of Data Analytics, Piotr Rosiak.</li><li>
You will partner with data scientists, business analysts, and key stakeholders from related teams such as Rev-Ops, Sales, Marketing, Product, Finance.</li></ul>
What we&rsquo;re looking for<ul><li>
At least 5 years of experience in a data engineering or analytics engineering role.</li><li>
Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT).</li><li>
A proven track record of developing and managing marketing / sales / GTM analytics from scratch.</li><li>
Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma).</li><li>
Moderate Python experience would be considered an asset.</li><li>
Highly organized, with an eye for precision and a love for keeping things tidy.</li><li>
Experience with SaaS and/or startups is highly preferred.</li><li>
Prior experience in the restaurant industry is a plus!</li></ul>
Pay and benefits<ul><li>
The estimated base salary range for this role is $160,000 to $180,000 for US-based roles, plus a generous equity pre-IPO equity package. For salary ranges in other geo locations, please discuss with your recruiter.</li><li>
Other benefits include comprehensive health coverage, work from anywhere (100% remote workplace), unlimited PTO - plus extra fun perks!</li></ul>
 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div><div></div>

Analytics Engineer, GTM

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Steelcase

<div></div><div><div>We are hiring an Analytics Engineer plays a crucial role at the intersection of Data Engineering, Data Science, and Business Intelligence, producing and maintaining descriptive analytics solutions that drive value to the business.</div><div></div><div> 
Supporting Meaningful Work
</div><div><ul><li>Work collaboratively with business partners and cross-functional teams to understand business context and needs and deliver on analytics requirements to solve problems. This involves collecting, cleaning, and harmonizing data to create and maintain analytics-ready datasets and analyzing data to create compelling visualizations.</li></ul></div><div>
The output of the Analytics Engineer recommends problem-solving action and enables strategic decision-making in the business. 
</div><div></div> 
<div>Who You Are
</div><div><ul><li>Strong analytical and problem-solving skills with the ability to interpret complex datasets and provide insights for action
</li><li>Strong communication and storytelling skills, ability to communicate about data insights with a diverse audience
</li><li>Ability to collaborate on multi-disciplinary Agile teams to deliver analytics solutions
</li><li>Experience in understanding business stakeholders&rsquo; processes and problems and translating into data and analytics solutions
</li><li>Ability to consult and collaborate with business stakeholders to enable self-service analytics using data in the Lakehouse</li></ul></div><div>
Minimum Qualifications
</div><div><ul><li>Bachelor&rsquo;s degree required; advanced degree in Statistics, Data Science, Information Systems, Business Analytics or related fields is preferred
</li><li>2+ years of prior independent, academic, internship, or work-related experience
</li><li>Knowledge of statistics including distributions, outliers, normalization, and trends for responsible data analysis
</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly, Streamlit) to create compelling visual analytics
</li><li>Familiarity with cloud data platforms such as Databricks or Snowflake for deploying analytics solutions
</li><li>Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
</li><li>Proficiency in working with structured and unstructured data
</li><li>Experience in data modeling and designing efficient ETL processes, with a particular focus on implementing Medallion Architecture within a Data Lakehouse environment
</li><li>Experience in producing analytics-ready datasets through cleaning, transformation, and harmonization
</li><li>Understanding of data quality, governance, and security best practices
</li></ul><div><div>Work Authorization:</div><div>
Qualified applicants must be authorized to work in the United States on a full-time basis. Steelcase will not provide support for or sponsor work authorization and/or visas for this role.</div></div></div><div></div><div> 
Helping Our People Thrive</div><div><ul><li>
Steelcase offers competitive wages and benefits, to support your life in and out of work
</li><li>Learning is the foundation of everything we do, and there is no shortage of development opportunities to grow and upskill</li><li>
Culture is a lifestyle at Steelcase and we live it every day
</li><li>Opportunity to make an impact on the world through Steelcase&rsquo;s commitment to people and planet</li></ul></div><div>
Doing better for people and planet
</div><div>Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens. 
</div><div></div> 
<div>Why People Choose to Work with Us:
</div><div>At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities. 
</div><div></div> 
<div>Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com. 
</div><div></div> 
<div><div>The annual base salary range for this position is $76,000 &ndash; $100,000. Please note that the salary information is a general guideline only. Steelcase considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.</div></div><div></div><div> 
#LI-Hybrid
</div><div>#LI-DM1</div></div><div></div>

Data Analytics Engineer

AMOUAGE

<div>
 
 
 Join the House of AMOUAGE
 
 
 
 
 
 
 
 Your Mission
 
 
 
 We are currently looking for a dynamic and results-driven Data Analytics Engineer responsible for building, maintaining, and optimizing end-to-end data pipelines and analytical solutions within a Microsoft-first cloud ecosystem, supporting luxury retail, e-commerce, and supply chain operations.
 
 
 
 
 
 
 Your Impact
 
 
 <ul>
 <li>
 Built and maintained scalable data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, and PySpark notebooks to ingest, transform, and deliver data across bronze, silver, and gold layers of the Medallion architecture.
 </li>
 <li>
 Developed and optimized SQL and PySpark transformation logic within Fabric Lakehouses and OneLake, ensuring data accuracy, consistency, and performance at scale.
 </li>
 <li>
 Extracted, loaded, and transformed data from Microsoft Dynamics 365 (Finance, Supply Chain, and Commerce) into the Fabric data platform using Dataflows Gen2, virtual tables, and API-based connectors.
 </li>
 <li>
 Developed and maintained Power BI reports and semantic models using Direct Lake mode, DAX measures, and star schema design to support commercial and operational stakeholders.
 </li>
 <li>
 Built practical Power Apps canvas and model-driven apps connected to Dynamics 365 and Fabric data, enabling business users to interact with and act on live data.
 </li>
 <li>
 Automated repetitive data and business workflows using Power Automate, including Dynamics 365 event-driven triggers and Fabric data alerts.
 </li>
 <li>
 Implemented data quality checks, validation rules, and anomaly detection within pipelines to maintain data integrity across all layers.
 </li>
 <li>
 Applied Microsoft Purview for data cataloguing, lineage tracking, and classification of sensitive data assets across Fabric and Dynamics environments.
 </li>
 <li>
 Collaborated with business analysts and stakeholders to translate requirements into analytical models, KPIs, and self-service reporting solutions.
 </li>
 <li>
 Participated in and contributed to POCs, testing, and iterative delivery of new Fabric and Power Platform features.
 </li>
 </ul>
 
 
 
 
 
 Your Journey With Us
 
 
 
 
 
 
 The House of AMOUAGE has been on an aggressive growth trajectory within the fast-growing ultra luxury perfumes segment, unlocking tremendous personal and career development opportunities for our team members across multiple locations, including Muscat, Dubai, New York, Seoul and Kuala Lumpur.
 
 
 
 
 
 
 Your Expertise
 
 
 <ul>
 <li>
 Delivered near-real-time data pipelines connecting Dynamics 365 Supply Chain and Commerce data into Microsoft Fabric, reducing reporting lag from days to minutes.
 </li>
 <li>
 Built a suite of Power BI Direct Lake dashboards used daily by commercial and operations teams for performance tracking and decision making.
 </li>
 <li>
 Developed reusable Power Apps solutions that replaced manual spreadsheet processes, saving significant time across business teams.
 </li>
 <li>
 Improved pipeline reliability and data quality by implementing automated validation frameworks within Microsoft Fabric notebooks.
 </li>
 <li>
 Accelerated time-to-insight by building reusable transformation templates and semantic.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Fabric, PySpark, SQL, Dataflows Gen2, Azure Data Factory, OneLake, Power BI (DAX, Direct Lake) Power Apps (Canvas &amp; Model-Driven), Power Automate, Microsoft, Dynamics 365 (Finance, SCM, Commerce) Microsoft Purview, Azure Data Lake Storage and Python.
 </li>
 </ul>
 
 
 
 
 
 The AMOUAGE Advantage
 
 
 
 
 
 
 Join a House that has been creating luxury fragrance experiences since 1983. At AMOUAGE, you'll be part of a legacy that combines artisanal craftsmanship with modern innovation, bringing extraordinary olfactory experiences to clients worldwide.
 
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