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Data Engineer Data Analyst Jobs in Maine (NOW HIRING)

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

Technical Lead, Data Analytics Department: Arkalytics - Support Employment Type: Full Time Location ... Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer ...

The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert ... Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Maine?

For Data Engineer Data Analyst jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Maine look for?

The top searched job categories for Data Engineer Data Analyst jobs in Maine are:

What cities in Maine are hiring for Data Engineer Data Analyst jobs?

Cities in Maine with the most Data Engineer Data Analyst job openings:

Senior Analyst, Business Transformation Data & Reporting (Store Operations)

Scarborough, ME • On-site

$125 - $150/hr

Other

Posted 7 days ago


Job description

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

Reporting to the Business Transformation Director - Data, this role serves as the primary reporting and analytics lead for their domain within the Business Transformation team. This leader will serve as the principal liaison between the defined domain within the Program Business Lead teams (Finance, Merchandising, Store Ops/Ecom, Supply Chain), the Tech Data team, and our System Integrator.

This lead role will have ownership of understanding and representing the needs for end user reporting and analytics and will be responsible for defining and translating the business requirements for reporting that will guide the activities of the product and tech teams in alignment with the defined reporting and analytics strategy.

They will work with the Organizational Readiness team to plan and execute the transition from current-state to future-state reporting and will partner with third party vendors to make sure Data timelines are met and Data quality thresholds are achieved for the project.

This leader will lead reporting and feature developments that drive automated decisions with data science and machine learning to improve performance in operations. This leader is responsible for managing all communications with colleagues, stakeholders, and leadership regarding all elements of their report portfolio.

This is a full-time, dedicated role for the duration of the transformation program (estimated 5-7 years).

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA, Carlisle, PA, Scarborough, ME, Hyattsville, MD.

Responsibilities
  • Serves as the primary reporting and analytic lead to the business functional lead, assuming ownership of the data migration effort within their assigned domain to set strategic data and reporting direction and prioritize development efforts for solution integration.
  • Manage a roadmap of reporting initiatives and partner with various teams across the organization to deliver on this roadmap, ensuring timely delivery and successful implementation of new capabilities.
  • Serve as a liaison between domain SMEs and the data architecture team, facilitating effective communication and collaboration.
  • Collaborate closely with Reporting and Insight managers to identify where data-driven optimization opportunities exist to support this roadmap.
  • Collaborate with cross-functional teams to ensure alignment and integration of data transformation efforts with broader business strategies.
  • Identify key performance indicators (KPIs) and develop metrics to track and measure the effectiveness of data transformation initiatives.
  • Responsible for selection, setup, and oversight of multiple tools and systems (both off-the-shelf and developed in-house) that support simulation and optimization.
  • Stay current with industry trends and emerging technologies related to data and reporting and provide insights and recommendations for improvement.
  • Establishes clear responsibilities and processes for monitoring work and measuring results of the team.
  • Facilitates an open dialogue with a wide variety of contributors and stakeholders.
  • Role model partnership behaviors, build cross-functional connections and develop industry-leading expertise.
  • Additional job duties may be assigned as needed to meet the needs of the business and support our Values.
Requirements
  • Bachelor's degree in Data Analytics, Business or Supply Chain Management.
  • 6+ years' relevant experience, with a preference for retail and/or grocery.
  • Proficient understanding of data analytics principles and ability to effectively partner with SMEs and data architects to drive reporting process enhancements.
  • Effective communication skills to bridge the gap between business and technical language, conveying complex concepts and findings to data architects and fostering productive collaboration.
  • Proven success defining and operationalizing future-state business processes, ways of working, and value realization strategies in multi-brand, complex organizational environments.
  • Ability to leverage data to analyze complex problems, create solutions that positively impact the business.
  • Highly collaborative with proven experience partnering, influencing and negotiating to achieve shared objectives.
  • Building strong relationships to drive adoption of new processes, tools and ways of working across multiple teams.
  • Proven track record of delivering measurable business outcomes and sustaining value post-implementation.
Preferred Qualifications
  • MBA or MS in Supply Chain Management, Industrial Engineering, Operations Research, Data Analytics or similar discipline preferred.
  • Preference for progressive experience in business data management, domain leadership, or enterprise transformation, with hands-on involvement supporting a functional domain in a large-scale ERP or enterprise technology program.
  • Direct experience with SAP S/4HANA or comparable ERP platforms preferred.
Salary

ME/NC/PA/SC: $108,880 - $163,320

IL/MA/MD/NY: $125,200 - $187,800

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

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