This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Analyst, Sales Operations directly supports the Sales Leadership team by producing and maintaining both ad-hoc analysis and day-to-day reporting. They collaborate with internal partners to mine and analyze quantitative and qualitative operational and sales data to generate reports and reveal insights that lead to informed business decisions. - Gather and analyze internal and external sales data to help guide strategic decision making. - Create basic to sophisticated ad hoc report requests; use insights from data exploration to prepare basic visualizations and PowerPoint reports. - Download required data and create pre-defined reports on set schedule. - Support in exploring data files to determine trends and relationships between variables. - Assist with qualitative strategic projects by conducting independent research and collaborating with internal stakeholders. - Analyze large datasets, draw valid inferences, and present findings to leaders across the Sales Leadership team. - Provide input on how critical data and KPIs are addressed in new systems or feature development and build analytics requirements into core systems to ensure comprehensive metrics are supported. - Identify data patterns and trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc. - Gather operational data from various cross functional stakeholders to examine past business performance. - Provide documentation and write business requirements to assist with the automation of reporting and data tools. - Contribute to periodic audits of data within business systems/platforms. - Work with other reporting teams across the organization to ensure data quality and accuracy. - Send out reports to stakeholder group and answer basic questions pertaining to the report. - Communicate with stakeholders to understand data content and business requirements. - Perform other duties as assigned. - Comply with all policies and standards. Qualifications - Bachelor's Degree in Statistics or equivalent experience - 1-3 years of related experience in data analysis - Expert knowledge of Microsoft Excel Macros and advanced formulas - Experience working with disparate data sets, data mining, data/text visualization tools, and creation of dashboards - Experience working within CRMs specifically SalesForce - Basic knowledge or interest about apps support procedures, concepts and other technical areas - Strong oral, written and interpersonal communication skills, must be capable of telling a story that is based on complex data/information to others - Recommend solutions to improve performance based on analysis - Must have excellent organizational and time management skills - Ability and willingness to learn new technologies and methodologies Requirements - Salary Range: You`ll earn between $32.56 - $43.27 on an hourly basis, depending on experience. - Bonus: You`ll be eligible for an annual discretionary bonus up to 10% of base salary. - Paid Time Off: You`ll accrue paid time off on a weekly basis based on hours worked up to 112 hours per year to start. Employees also receive 8 paid holidays and 1 paid family day off. Benefits - Comprehensive medical, dental, and vision benefits - 401k plan and matches $1 for $1 up to 4% of earnings, matched & vested at every pay cycle - Life insurance - Short/long-term disability coverage - Paid maternity/paternity leave - Pet insurance Company Description SanMar works with brands you already know, like Nike, The North Face and Brooks Brothers, as well as providing industry-leading private label apparel and accessories. Our people come to work excited to do their part, providing clothing that helps people feel that they’re a part of something special. SanMar is an Equal Opportunity Employer. Whoever you are, wherever you’re from, whoever you love or follow in faith, whatever your disability or superpower status, whichever ethnicity or gender you identify with, you are welcome at SanMar. SanMar participates in E-Verify.

What's the Short Version? The Data Analyst, Sales Operations directly supports the Sales Leadership team by producing and maintaining both ad-hoc analysis and day-to-day reporting. They collaborate with internal partners to mine and analyze quantitative and qualitative operational and sales data to generate reports and reveal insights that lead to informed business decisions. What Will You Be Doing? - Gather and analyze internal and external sales data to help guide strategic decision making. - Create basic to sophisticated ad hoc report requests; use insights from data exploration to prepare basic visualizations and PowerPoint reports. - Download required data and create pre-defined reports on set schedule. - Support in exploring data files to determine trends and relationships between variables. - Assist with qualitative strategic projects by conducting independent research and collaborating with internal stakeholders. - Analyze large datasets, draw valid inferences, and present findings to leaders across the Sales Leadership team. - Provide input on how critical data and KPIs are addressed in new systems or feature development and build analytics requirements into core systems to ensure comprehensive metrics are supported. - Identify data patterns and trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc. - Gather operational data from various cross functional stakeholders to examine past business performance. - Provide documentation and write business requirements to assist with the automation of reporting and data tools. - Contribute to periodic audits of data within business systems/platforms. - Work with other reporting teams across the organization to ensure data quality and accuracy. - Send out reports to stakeholder group and answers basic questions pertaining to the report. - Communicate with stakeholders to understand data content and business requirements. - Perform other duties as assigned. - Comply with all policies and standards. What Are We Looking For? - Bachelor's Degree in Statistics or equivalent experience - 1-3 years or related experience in data analysis - Expert knowledge of Microsoft Excel Macros and advance formulas - Experience working with disparate data sets, data mining, data/text visualization tools, and creation of dashboards - Experience working within CRMs specifically SalesForce - Basic knowledge or interest about apps support procedures, concepts and other technical areas - Strong oral, written and interpersonal communication skills, must be capable of telling a story that is based on complex data/information to others - Recommend solutions to improve performance based on analysis - Must have excellent organizational and time management skills - Ability and willingness to learn new technologies and methodologies What's Our Offer? Salary Range: You`ll earn between $32.56 - $43.27 on an hourly basis, depending on experience. Bonus: You`ll be eligible for an annual discretionary bonus up to 10% of base salary. Paid Time Off: You`ll accrue paid time off on a weekly basis based on hours worked up to 112 hours per year to start. Employees also receive 8 paid holidays and 1 paid family day off. Additional Benefits: - Comprehensive medical, dental, and vision benefits - 401k plan and matches $1 for $1 up to 4% of earnings, matched & vested at every pay cycle - Life insurance - Short/long-term disability coverage - Paid maternity/paternity leave - Pet insurance What Should You Expect? Remote: While performing the duties of this job, the employee is regularly required to sit; reach with hands and arms and talk or hear. The employee is frequently required to use hands to finger, handle or feel. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Ability to work on computer for multiple hours with frequent interruptions. SanMar's Eastpointe office is located near Seattle, WA and our standard working hours are 8:00-5:00 PST. Quarterly travel may be required.

• Execute daily bid adjustments at the keyword level to maintain target CPA (Cost Per Acquisition) and ROAS goals. • Manage daily and monthly budgets to ensure optimal spend distribution without overspending. • Set up and structure new campaigns following the best practices (Brand, Discovery, Competitor, and Category clusters). • Perform regular Search Term Mining to identify new high-intent keywords and expand the semantic core. • Maintain and update negative keyword lists to eliminate irrelevant traffic and reduce wasted ad spend. • Monitor Search Ads Maven/AppTweak/SensorTower (або інші інструменти, які ви використовуєте) to track competitor bidding strategies and market trends. • Build and maintain automated dashboards to track key performance indicators: CPT, CPI, TTR, and Conversion Rate. • Reconcile data between Apple Search Ads dashboard and internal MMP data to ensure attribution accuracy. • Analyze the "Organic Uplift" to understand how paid search spend influences organic rankings and total downloads.

The job profile for this position is Program Management Lead Analyst, which is a Band 3 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Role Summary: Data Analyst for our Pre/PostPay Edit editing program. This position will provide the technical component of our Pre/PostPay Edit editing program in development, implementation, production monitoring and maintenance of our internal PrePay edits. Individual will work with our matrix partners to evaluate edit ideas and use business requirements to develop the technical processes to obtain desired results and support strategic initiatives aimed at improving claim accuracy and operational efficiency. Strong technical coding experience will be needed to be successful in this role. Key Responsibilities: - Act as technical analyst for Proactive Claim Intervention projects and daily tasks for all aspects of our Pre/PostPay Edit editing program. - Data Analyst for the development, installation, execution and maintenance of our Pre/PostPay Edit editing program. - Develop and maintain editing on regular and ad-hoc basis, primarily using SAS, Microsoft SQL Server and internally developed ARM rule-based claim editing platform - Responsible for data mining activities and technology integration of Pre/PostPay Correction Program to support our Pre/PostPay Edit editing program. - Evaluates and appropriately utilizes various approaches to data mining to narrow in on trends and drivers that directly impact outcomes. - Makes well-thought-out decisions on complex or ambiguous IT architecture issues. - Participate in all phases of Pre/PostPay Edit program IT architecture process testing and implementation. - Ensures that system improvements are successfully implemented and monitored to increase efficiency. - Works closely with matrix business partners to define data needs, opportunities for improvement and effectively communicates results of analysis and solutions. - Acts as a resource for mentorship, training and guidance for junior staff. Required Qualifications: - Bachelor’s degree or higher strongly preferred in Business Analytics, Data Science, Information Systems, or a related field, or equivalent work experience required. - 5+ years of experience in healthcare data analytics required. - 5+ years coding experience required, with proficient skills using SAS and Microsoft SQL Server highly preferred. - Experience with rule-based editing platforms desired. - 5+ years of experience in healthcare data with proficient skills in medical analysis and project management. - Strong data investigation skills to mine healthcare data required. - Experience with Word, Outlook, PowerPoint, Teams, Webex, Excel (pivot tables/VLOOKUP preferred). - Strong data analysis skills with the ability to analyze large amounts of healthcare data to translate complex data into meaningful, actionable insights - Strong project management skills and comfort in ability to create and achieve success in highly matrixed environment. - Exceptional verbal and written communication skills with demonstrated ability to research, problem solve, trouble shoot, influence and partner across the organization to a drive toward resolution for the client, provider and organization. - Strong presentation skills. Able to prepare, deliver, and ensure understanding of information regarding any customer-related or process improvement topic across audiences. - Demonstrated ability to work independently and drive to objectives. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 77,500 - 129,100 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.