Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Experian is looking for an experienced Data Engineering Analyst Lead/Scientist to join our Data Intelligence & Attributes team. This team transforms raw trade and transaction-level data into high-value consumer features. These features guide decisions across the credit lifecycle, from marketing and acquisition to account management and collections. This is a fully remote position. You will report to the Director of Data Engineering. You will: - Engineer and validate consumer-level attributes from credit bureau and alternative data sources. - Apply statistical techniques to uncover insights and improve predictiveness. - Monitor attribute performance for stability, compliance, and accuracy. - Build dashboards and visualizations (Tableau) to communicate findings. - Collaborate with engineering to productionalize prototypes into scalable solutions. - Partner with product, risk, and business teams to maximize impact across marketing, risk assessment, and collections. - Engage with clients to explain analytics and translate technical results into applicable business insights. Qualifications - Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science). - 5+ years in data science or advanced analytics within credit or financial services. - Python and SQL skills; experience with Tableau or similar BI tools. - Experience with credit bureau and alternative data. - Experience designing and deploying consumer attributes for production. - Client-facing experience in analytics or credit risk. - Familiarity with AWS or other cloud platforms. - Knowledge of regulatory compliance and data privacy in credit contexts. Additional Information Benefits/Perks: - Great compensation package and bonus plan - Core benefits including full medical, dental, vision, and matching 401K - Flexible schedule, ability to work remotely, hybrid, or in-office - Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid - Employee Status: Regular - Role Type: Home - Job Posting - Salary Range: $115,747 - $208,344 - Department: Analytics - Flexible Time Off: 20 Days - Schedule: Full Time

• Develop and optimize complex SQL queries • Build and maintain dashboards and reports • Conduct exploratory analyses and identify patterns • Work with large volumes of data (ETL/ELT) • Support business areas with actionable insights • Ensure data quality and governance

Location: London, ON | Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable insights. In this role, you will partner closely with cross functional teams to analyze data across key areas of the business, including product performance, inventory, revenue, customer insights, and marketing. Your work will help shape business decisions, optimize performance, and support continued growth. You will be responsible for transforming data from multiple sources into clear, meaningful insights, building models, and delivering reporting that informs strategy. Success in this role comes from strong analytical thinking, attention to detail, and the ability to communicate insights in a way that drives action. If you enjoy solving complex problems, working with data tools such as Power BI, Python, R, or Excel, and collaborating with stakeholders to influence outcomes, this is an opportunity to make a meaningful impact. Posting this opportunity to support a backfill requirement on the team What You’ll Do - Analyze key business metrics to evaluate and improve strategic initiatives - Translate data into actionable insights and recommendations - Build data models and generate summary statistics using analytics tools - Develop reports and dashboards using BI tools (e.g., Power BI) - Collaborate with cross-functional teams to support business needs - Communicate insights clearly to stakeholders at all levels - Leverage AI and automation tools to improve efficiency - Identify opportunities for continuous improvement and process optimization What You Bring - Bachelor’s degree in Analytics, Mathematics, Statistics, Business, Technology, or related field (Master’s in Analytics is an asset) - 2+ years of experience in a Data Analyst or Business Analyst role working with large datasets - Strong experience with Power BI and Power Query - Advanced Excel skills - Intermediate proficiency in Python or R - Experience or interest in AI tools and applications What Sets You Apart - Strong data cleaning, transformation, and analysis skills - Ability to synthesize complex data into clear insights - Experience building queries, reports, and visualizations - High attention to detail and accuracy - Excellent communication and collaboration skills - A proactive learner who is curious, adaptable, and driven to improve processes Why Join StarTech.com? - Competitive salary and bonus potential - Comprehensive benefits package - Collaborative and innovative work environment - Opportunities to grow your skills in analytics, BI, and AI What to expect from the Hiring Process: We respect your time and value transparency. Here’s a general idea of what to expect: - Intro call with our Talent Acquisition Team (30 minutes) - Assessment (60 minutes) - Interview with the Hiring Manager (45-60 minutes) - Final Interview - Director, Market Research & Analytics (45 minutes) - Offer & onboarding This role offers a competitive salary range of CAD $68,000 to $78,000 and eligibility to participate in our bonus program. At StarTech.com, we value fairness and regularly benchmark pay to stay competitive, recognizing each person’s unique contributions. As part of the StarTech.com “One Team,” you’ll also enjoy: - Comprehensive health benefits - Tuition reimbursement program - Retirement savings plans - Wellness Program - Additional perks and rewards About us We are in the business of human-centered experiences starting with yours. We believe delivering on our promise of "hard-to-find, made easy" begins with an employee experience founded in opportunity, teamwork, empowerment, and curious minds always asking what if. Not only does our commitment to the exceptional deepen relationships with our partners and customers, it also ignites connection within our team. StarTech.com is a global leader in tech connectivity solutions, manufacturing a wide range of accessories designed to meet the demanding performance standards of IT professionals and businesses. Since 1985, the company has expanded into 28 markets across five continents, with products trusted by more than 90% of Fortune 500 companies.  StarTech.com has been recognized as one of Canada’s Best Managed Companies by Deloitte for 15 consecutive years and is ranked in the top 5% of companies worldwide for sustainability by EcoVadis. StarTech.com is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, StarTech.com will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation. StarTech.com uses AI tools only for administrative support, such as transcribing interview notes and organizing candidate details into standardized prescreening and interview templates. These tools do not screen, rank, or assess candidates. All hiring decisions are made by our Talent Acquisition team and Hiring Managers. Candidate information is collected and used solely for recruitment purposes in compliance with applicable privacy laws.

Job Description Summary The Data Analyst III reports to the Manager of Epic Platform Intelligence in support of MUSC’s academic, research and healthcare missions. Under general supervision, the Data Analyst III provides expertise in evaluating and resolving complex technical issues, demonstrates strong analytical and communication skills to maximize the benefit of Information Solutions services. Generates appropriate communication, process, and educational plans to identify and remove obstacles to change mitigating the disruption of development. Coordinates the discovery, distribution, and completion of analytical requests through ServiceNow. Serves as a subject matter expert in all areas of enterprise analytics supporting analytic solutions such as reports, dashboards, and other analytic tools while participating in decision making, strategy, performance improvement, and other key operational goals. Takes an active role in projects and requests; participates in team and project meetings and provides input on solutions to improve outcomes. Supports and transfers knowledge to peers and staff, maintains high professional standards by participating in peer review, ensures standardized development, and exhibits excellent customer service skills while performing assigned tasks. Entity Medical University Hospital Authority (MUHA) Worker Type Employee Worker Sub-Type​ Regular Cost Center CC002338 SYS - IS Business Analytics & Epic Analytics Pay Rate Type Salary Pay Grade Health-29 Scheduled Weekly Hours 40 Work Shift Job Description The Data Analyst III reports to the Manager of Epic Platform Intelligence in support of MUSC’s academic, research and healthcare missions. Under general supervision, the Data Analyst III provides expertise in evaluating and resolving complex technical issues, demonstrates strong analytical and communication skills to maximize the benefit of Information Solutions services. Generates appropriate communication, process, and educational plans to identify and remove obstacles to change mitigating the disruption of development. Coordinates the discovery, distribution, and completion of analytical requests through ServiceNow. Serves as a subject matter expert in all areas of enterprise analytics supporting analytic solutions such as reports, dashboards, and other analytic tools while participating in decision making, strategy, performance improvement, and other key operational goals. Takes an active role in projects and requests; participates in team and project meetings and provides input on solutions to improve outcomes. Supports and transfers knowledge to peers and staff, maintains high professional standards by participating in peer review, ensures standardized development, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Required Educations/Skills/Work Experience: A bachelor’s degree and three years directly related experience; or a high school diploma and seven years directly related experience or a Masters’ degree and 1 year directly related experience required. Must possess strong interpersonal, project management, analytical and communication skills. Must be able to demonstrate expert skills in framing analytic problems, identifying key stakeholders, acquiring, and preparing data, selecting, and applying analytic tools, and producing actionable results. Epic Certification or Proficiency preferred. Physical Requirements • Mobility & Posture o Standing: Continuous o Sitting: Continuous o Walking: Continuous o Climbing stairs: Infrequent o Working indoors: Continuous o Working outdoors (temperature extremes): Infrequent o Working from elevated areas: Frequent o Working in confined/cramped spaces: Frequent o Kneeling: Infrequent o Bending at the waist: Continuous o Twisting at the waist: Frequent o Squatting: Frequent • Manual Dexterity & Strength o Pinching operations: Frequent o Gross motor use (fingers/hands): Continuous o Firm grasping (fingers/hands): Continuous o Fine manipulation (fingers/hands): Continuous o Reaching overhead: Frequent o Reaching in all directions: Continuous o Repetitive motion (hands/wrists/elbows/shoulders): Continuous o Full use of both legs: Continuous o Balance & coordination (lower extremities): Frequent • Lifting & Force Requirements o Lift/carry 50 lbs. unassisted: Infrequento Lift/lower 50 lbs. from floor to 36”: Infrequent o Lift up to 25 lbs. overhead: Infrequent o Exert up to 50 lbs. of force: Frequent ▪ Examples: ▪ Transfer 100 lb. non-ambulatory patient = 50 lbs. force ▪ Push 400 lb. patient in wheelchair on carpet = 20 lbs. force ▪ Push patient stretcher one-handed = 25 lbs. force • Vision & Sensory o Maintain corrected vision 20/40 (one or both eyes): Continuous o Recognize objects (near/far): Continuous o Color discrimination: Continuous o Depth perception: Continuous o Peripheral vision: Continuous o Hearing acuity (with correction): Continuous o Tactile sensory function: Continuous o Gross motor with fine motor coordination: Continuous o Selected Positions: ▪ Olfactory (smell) function: Continuous ▪ Respirator use qualification: Continuous • Work Environment & Conditions o Effective stress management: Continuous o Rotating shifts: Frequent o Overtime as required: Frequent o Latex-safe environment: Continuous If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees