Description:Are you a data junkie? Do you enjoy developing, inspecting, mining, transforming, and modeling data to raise productivity, improve decision making, and gain competitive advantage in a production setting? Are data visualization applications your playground? If so, this is the perfect position for you!
In this role you will be an extension of an advanced data analytics team consisting of colleagues possessing varying skill sets including data scientists, data engineers, front-end and back-end developers, and other data analysts.
The Data Analyst designs and develops methods, processes, and systems to analyze structured and unstructured diverse big data sources. Develops and uses advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and model complex business problems. Is familiar with disciplines such as Machine Learning, Natural Language Processing, Predictive modeling, Statistical Analysis, and Hypothesis testing.
Our ideal candidate is someone who can: Create interactive data analytics dashboards to measure & improve operations performance Collect, analyze, and summarize data to communicate insightful information to key stakeholders Work closely with leadership team, IT team, and other key stakeholders Present thorough and detailed reports to identify areas of opportunity to drive future decision making Perform data validation and maintain integrity of dashboards & databases Maintain and optimize current Tableau dashboards Develop and automate data pipelines Complete Ad-hoc research request from senior leadership
Relocation: Relocation assistance is possible for this exciting position.
The Locale: Chelmsford is a charming suburb of Boston located about 25 miles northwest of that city. Chelmsford is very close to historic Lowell Massachusetts and to Nashua, New Hampshire. Chelmsford is within reach of New Hampshire s White Mountains and awesome ski areas to the north, and the scenic coastal towns of MA and NH are about an hour east. This scenic colonial region offers lots of New England charm, great schools, shopping, and restaurants. Chelmsford and the region share an impressive past from the early days after the pilgrims arrived in Plymouth to the revolutionary war. Where can you get to from Chelmsford? Chelmsford is about 90 minutes from Cape Cod. Boston is about 30 minutes to the east without traffic. New York City is about 4.5 hours away from Chelmsford. Waterville Valley and other major ski resorts of New Hampshire and Vermont are about 2 to 3 hours to the north. It should be noted that Chelmsford, Massachusetts is approximately 35 miles northwest of the Boston metropolitan area and offers better access to a wide range of substantially more affordable regions in the area to live. Those regions include Northeastern and North Central Massachusetts, and Southern, New Hampshire.
MFCPO Basic Qualifications: - Bachelor s or Master s degree in Computer Science, Information Systems, or equivalent experience - Previous experience as a Data Analyst and Dashboarding - Experience in the Business Intelligence (BI) / Data Warehousing (DW) industry - Interest in machine learning or Natural Language Processing - Ability to interact & communicate effectively with colleagues on requirements - Perform specialized data investigations to support analytics and custom reporting scenarios - Ability to work independently as well as with a team - Energetic & Self-Starting - Focused on results and able to work closely with others in collaborative environment. - Ability to obtain a secret security clearance so must be a US Citizen. Desired Skills: Experience in working with data integration and data warehousing solutions preferably in an SAP ecosystem. Skilled in business domain modeling and logical and physical relational data modeling/design using SAP tools and other emerging tools (such as Tableau) for self-service analytics needs Ability to do Data Asset Discovery, Data Profiling to ascertain delivery of high-quality data through data governance. Skilled in data analysis and facilitation, i.e., able to produce data designs using a variety of inputs such as requirements analysis, SME interviews, business process and data flow analysis, data profiling, etc. Experience with SAP ECC, SAP HANA, Microsoft SQL Server, as well as familiarity with ETL tools (SAP SLT, DSAP Data Services) and data profiling processes/tools. Knowledgeable about Business Intelligence/analytics tools and their appropriate use in solutions for diverse business requirements with clarity in understanding business needs around running the business vs managing the business Experience with cloud-based data solutions (AWS preferred: EMR, Redshift, S3) Experience with MS SharePoint Lean Six Sigma (Green Belt or Black Belt Certification) Operations Background Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.
As a leading technology innovation company, Lockheed Martin s vast team works with partners around the world to bring proven performance to our customers toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: ESS0385 MISSILES AND FIRE CONTROL Relocation Available: Possible Career Area: Manufacturing Clearance Level: Secret Type: Full-Time Virtual Location: no Work Schedule: 4X10A- 4 10 hr days Mon-Thurs; Fr/Sa/Su off Shift: First
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.