Manager of Data Analytics & Intelligence at EKN Engineering

Irvine, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Power BI, Microsoft Excel, ETL, AI Model Deployment, Large Language Models, Predictive Analytics, Machine Learning, Cloud Architecture, Data Warehousing, Python, R, Data Visualization, Stakeholder Management, Team Leadership, Quantitative Statistics

Industry

Engineering Services

Description

Manager of Data Analytics & Intelligence As the Manager of Data Analytics & Intelligence, you will manage the Data Analytics team by delivering insightful reports accurately and on time. You liaise with both internal and external stakeholders to anticipate their needs and help to foster a data-led culture. You should be able to work with both technical and non-technical teams to define and measure key business metrics and use them in insightful reports. Responsibilities: * Interprets data, analyzes results and identifies opportunities for new reporting * Validates data by continually reviewing both reports and data sources for accuracy and consistency * Independently creates and maintains reports and dashboards in Excel and Power BI * Adheres to (and helps improve) department standards and best practices * Manage and coach members of the Data Analytics team on technical issues and may act as a line manager * Administers and improves the data management system, including deployment pipelines * Documents client and internal reporting, including the reporting catalogue and data dictionary * Can understand and manage the ontology of our client and internal data independently * Partners with non-technical Project Managers to develop reporting suites for their projects (including setting KPIs) * Works with internal and external stakeholders to define clear signals of success with simple, easy-to-understand metrics * Operates effectively across all levels of the organization, building strong relationships with department heads and key stakeholders, managing competing priorities, and driving alignment to deliver results * Serves as a trusted analytical partner to senior leadership, responding to ad hoc executive requests with timely, accurate insights that inform strategic decisions * Leads and develops a high-performing team of data scientists and AI practitioners, fostering a collaborative environment that drives innovation and delivers impactful solutions Qualifications: * Competence working with and transforming relational databases in SQL or similar query-language and Power Query or similar GUI-based query tool * Experience managing various aspects of a data pipeline including data validation, data management, data analysis and data visualization * Advanced understanding of ETL best practices, and how to articulate them to both data analysts and developers * Proficient in Microsoft Excel, with 3-5+ years' practical experience * Experience building and deploying AI models, with demonstrated proficiency leveraging large language models including Claude to solve complex business problems * Quantitative and computational statistics aimed at process optimization * Strong understanding of Predictive Analytics and ML/AI development * Experience with cloud architecture and complex data structures * Familiarity with data warehousing concepts and performance tuning * Proficient in Microsoft Power BI * Networking skills including; authentication, using data connectors, and cloud storage * Ability to interface with various stakeholders * Great client-facing personal skills and communication * Demonstrate forward-looking, strategic thinking ability Preferred Qualifications: * 5+ years of experience using PowerBI * Machine Learning/AI Experience * BS degree in Data Analytics, Math, Statistics, or related field * Proficient in SQL; R or Python * Experience in gathering and building requirements for analytics and project management * Strong understanding of Product Development and Process Optimization * Strong understanding of analytical and forecasting models, like Regression modeling, Cluster Analysis, Time Series and Forecasting * Ability to identify and surface critical business and product analytics metrics, translating data into clear, actionable insights for stakeholders at all levels Why Join Us: At EKN Engineering, you’ll be part of a company that values innovation and accountability and supports our employees' professional growth and personal development. Here, you’ll work with teams that push the boundaries of engineering to create solutions that enhance our communities and the environment by making utilities safer. Benefits & Perks * 100% Company-Paid Medical, Dental, Vision, and Life Insurance – Comprehensive coverage to support your health and well-being. * 401(k) with Company Match – We invest in your future with a dollar-for-dollar match on contributions. * Flexible Spending Account (FSA) – Set aside pre-tax dollars for qualified healthcare and dependent care expenses. * Exclusive Employee Discounts – Access our BenefitsHub for savings on travel, rental cars, hotels, theme parks, and more. * Monthly Catered Lunches & Daily Office Snacks – Enjoy a well-stocked kitchen and regular team meals to keep you fueled throughout the day. * Employee Engagement & Wellness – We value connection and balance. Our team enjoys a variety of events and activities throughout the year, including hiking outings, summer BBQs, sports games, holiday celebrations, and dedicated team-building days. * JOYA Health Membership – Access to over $1,000 in annual skin health and wellness benefits, including complimentary facials or peels, aesthetic service credits, priority skin cancer screenings, teledermatology services, and discounts on skincare products. * Wellness Perks & Support Programs – Access a variety of wellness resources including discounted gym memberships through One Pass, mental health and self-care tools via AbleTo and Calm, and monthly rewards for healthy activities through Rally. Public Warning: Recruitment Phishing Scam Impersonating EKN Engineering EKN Engineering has become aware of a phishing scheme targeting individuals with fraudulent interview requests and job offers. EKN’s secure IT systems and private applicant information have not been compromised; scammers are impersonating EKN employees, using the company name and branding to mislead and engage potential job seekers in fake recruitment processes. Scammers might reference real job openings or describe fake opportunities that generally match individuals’ professional backgrounds, with the goal of establishing communication and eventually obtaining private financial information to defraud people. The Federal Bureau of Investigation and Federal Trade Commission warn that employment scams such as this are a growing cyber threat. EKN urges anyone who is contacted about employment opportunities to exercise caution and know that: · All communication from EKN Engineering will be from an EKN employee using the @eknengineering.com email domain. We do not use third-party recruiters. · EKN Engineering recruiters will only schedule interviews for candidates who have applied for a position through our secure portal. · No corporate or IT systems at EKN are affected by this scam. The scammers are using EKN’s logo and employee names to impersonate the company. · You can directly contact us at TalentAcquisition@eknengineering.com with any questions or concerns. EKN is committed to ensuring the safety and security of our community. We caution individuals to be vigilant in protecting personal data and vetting communication with new contacts from any company. Do not respond or provide any personal information if contacted by someone claiming to represent a company to which you did not submit a job application or profile. This scam can be perpetrated against any business and individuals who recognize and trust its name. For information on EKN recruitment practices and policies, please visit our career page or email TalentAcquisition@eknengineering.com. To report a scam, visit: https://reportfraud.ftc.gov/ [https://reportfraud.ftc.gov/]/.

Responsibilities

Manage the Data Analytics team to deliver accurate reports and foster a data-led culture across the organization. Lead the development of AI solutions and manage data pipelines to provide strategic insights for senior leadership.