{"id":1103976,"url":"https://alion.io/job/skechers-associate-analyst","title":"Associate Analyst","company":{"id":715105,"name":"Skechers","domain":"skechers.com","url":"https://alion.io/company/skechers-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":381,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manhattan Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72000,"max":75000,"currency":"USD","period":"year","gross":null,"usd_annual":75000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-01T03:13:58Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"WHO WE ARE:Headquartered in Southern California, Skechers-the Comfort Technology Company®-has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.\nABOUT THE ROLE:\nThe Data Analyst will support the International Merchandising team by managing data collection from different business partners and models, building and maintaining automated reporting systems, and ensuring data accuracy across international markets. This role will be responsible for developing data pipelines and reporting tools and collaborating with regional teams to support data-driven decision-making across Joint Ventures, Subsidiaries, and Distributor channels.\nWHAT YOU'LL DO:\nDistributor Communication & Data Collection: Communicate and follow up with Distributors regularly to collect sales/inventory data and ensure the accuracy of information\nData Cleaning & Quality Assurance: Clean and validate raw data from international markets, identifying and resolving data inconsistencies, duplicates, and errors across Joint Ventures, Subsidiaries, and Distributor channels\nProcess Development & Automation: Manage and implement automated data cleaning, transformation, and reporting systems to improve efficiency and reduce manual processing time.\nSystem Optimization & Maintenance: Continuously evaluate and improve existing data processes, troubleshoot issues with automated systems, and monitor performance to ensure optimal functionality. Maintain and update files on company software to ensure data integrity and accessibility\nCross-functional Collaboration: Work with the Data and Analytics team, regional teams, and business stakeholders to understand requirements and implement effective automated solutions while ensuring data quality and compliance\nWHAT YOU'LL BRING:\nPython programming for data cleaning, transformation, and report automation\nPower BI, Power Pivot, and advanced Excel for dashboard creation, data modeling, and automated reporting (pivot tables, V-lookups, macros, and basic programming)\nExperience with ETL (Extract, Transform, Load) processes, report scheduling, and data validation methodologies\n Data visualization and quality assurance best practices\nData governance and compliance understanding for international data handling\nBasic understanding of data management principles\nAbility to work effectively in a team environment\nWillingness to learn and take on new challenges\nProblem-solving mindset is critical for identifying inefficiencies and designing creative solutions to complex data challenges\nStrong analytical skills\nAbility to be flexible and work in a fast-paced environment with shifting priorities\nExcellent communication\nProactive, takes the initiative to drive business and think outside of the box\nREQUIREMENTS:\nBachelor's program in Business Analytics, Data Science, Statistics, or a related field\nPrior experience with data analysis tools (e.g., Excel, Power BI) through academic projects or previous internships is a plus\nInternational data experience: Demonstrated experience working with data from multiple countries, including handling different date formats, currencies, languages, and time zones\nProven track record of identifying manual processes and successfully implementing automated solutions\nExperience implementing new automated processes and managing organizational changes, including user adoption and training\nExperience working with diverse stakeholders across different departments, regions, and business models\nLarge dataset management and hands-on experience processing and cleaning large, complex datasets from multiple sources\nExperience building and deploying data systems that others rely on for daily operations\nThe pay range for the role is $72,000-$75,000/yr USD.\nAbout Skechers\nSkechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.\nEqual Employment Opportunity\nSkechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.\n Reasonable Accommodation\nApplicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing .\nTo perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.","description_format":"text","description_chars":5504,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Footwear","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-09-22T04:05:25Z"}],"liveness":{"score":46,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":0.9,"age_days":10,"expected_fill_days":26,"reasons":["conf:2","stale_co","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":75000,"is_top_pay":false},"html_url":"https://alion.io/job/skechers-associate-analyst","json_url":"https://alion.io/job/skechers-associate-analyst.json","meta":{"generated_at":"2026-10-01T19:04:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1435,"day_limit":5000,"remaining_today":3565,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}