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Offshore Data Analyst Jobs in Michigan (NOW HIRING)

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Ensure data is standardized, high-quality, and optimized for analytical use. * Leverage tools and ... About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Ensure data is standardized, high-quality, and optimized for analytical use. Leverage tools and ... About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore ...

Information Engineer

Holland, MI · On-site

$80 - $100/hr

Profile Information Engineer In grootschalige offshore- en energieprojecten is informatiemanagement ... van engineeringdatabases, data-analyses, informatiestandaarden en nieuwe tools. Zo help je ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... architecture, offshore advisory services and e-commerce. USM, a US ensured Minority Business ...

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ... About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore ...

Accounts Payable Analyst

Auburn Hills, MI · On-site

$21.25 - $28.50/hr

Month-end reporting, monitor month end metrics, analyze trends in data and recommend process ... Work with Accounts Payable offshore group to ensure efficient payment processing * Supporting ...

We have offices in VA,MD & Offshore development centers in India.We have successfully excuted 100 ... Forward work assignments as needed to the appropriate work units. • Collect and analyze data from ...

... data-driven decision-making Design and implement data analysis and ML models, hypotheses ... About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore ...

Showing results 21-40

Offshore Data Analyst information

What is an offshore data analyst?

Offshore data analysts are professionals who analyze and interpret data related to offshore operations, such as oil and gas exploration, maritime activities, or renewable energy projects located at sea. They collect, process, and evaluate data from various offshore sources to help companies make informed decisions about safety, efficiency, and productivity. Offshore data analysts often work with specialized software and may collaborate with engineers, geologists, or project managers to provide actionable insights. Their role is crucial in ensuring that offshore projects are both cost-effective and compliant with industry regulations.

What skills and qualifications are needed to thrive as an offshore data analyst?

To excel as an Offshore Data Analyst, you need strong analytical abilities, a solid background in statistics or mathematics, and often a relevant degree such as in data science, computer science, or engineering. Familiarity with data processing tools like SQL, Python, R, and data visualization software, as well as experience with industry-specific databases and possibly certifications like Microsoft Certified Data Analyst Associate, are typically required. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with onshore teams and presenting findings clearly. These competencies ensure accurate data interpretation, effective remote collaboration, and actionable insights that drive decision-making in offshore operations.

What are common challenges faced by offshore data analysts and how can they be addressed?

Offshore Data Analysts often encounter challenges such as time zone differences, communication barriers, and aligning with onshore teams' expectations. To address these, it's important to establish clear communication channels, document processes thoroughly, and participate in regular meetings to stay aligned with stakeholders. Leveraging collaboration tools and proactively seeking feedback can also help ensure that work meets quality standards and deadlines, fostering strong working relationships across locations.

What is the difference between Offshore Data Analyst vs Data Analyst?

AspectOffshore Data AnalystData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are commonSimilar credentials; often holds degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentRemote or offshore teams, often in different time zones, working for international companiesUsually on-site or remote within the same country or region
Employer & Industry UsageHired by multinational companies, outsourcing firms, or global consultanciesEmployed across various industries locally or nationally

Both roles involve analyzing data to support business decisions, but Offshore Data Analysts typically work remotely for international clients or companies, often in different time zones, whereas Data Analysts may work locally or on-site within their country. The core skills and certifications are similar, but the work setting and employer types differ.

What cities in Michigan are hiring for Offshore Data Analyst jobs?

Cities in Michigan with the most Offshore Data Analyst job openings:

$105K - $126K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Stefanini Group is hiring!

Stefanini is looking for Data Engineer , Dearborn, MI

For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com

We are looking for Data Engineer who will be responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.

 

Key Responsibilities

  • Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
  • Ensure data is standardized, high-quality, and optimized for analytical use.
  • Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
  • Utilize full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
  • Leverage deep expertise in GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms that meet and exceed business needs and expectations.
  • Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data.
  • Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
  • Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
  • Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
  • Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
  • Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve the data platform and enhance capabilities.
  • Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

Skills Required

  • GCP Cloud Run, Kafka, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, BigQuery, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API

Experience Required

  • 7+ years of data engineering work experience

 

Education Required

  • Bachelor's Degree

 

**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

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Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR