Data Analyst HybridDataContract Denver, Colorado, United States Charlotte, North Carolina, United States Stamford, Connecticut, United States Overview Description Company Profile At Sand Cherry Associates, we excel in the design and delivery of strategic customer-centric initiatives through digitally-native, data-empowered solutions. Our client’s confidence in us is centered on exceptionally skilled, high-energy talent working with the support of the full Sand Cherry team. Finding the right match for this role is a critical aspect of continuing that success. Overview We are seeking a Data Analyst to join our clients Reliability team. This role is responsible for using advanced, non-machine-learning analytic techniques to investigate well-defined business questions, synthesize findings, and deliver actionable insights. The Data Analyst will partner closely with management and stakeholders to clearly define problems, explore and analyze data, and present results in a way that drives business decisions. This role is responsible for using SQL, Excel, and Tableau/MicroStrategy to turn complex data into clear, actionable insights. This is a hybrid role with locations in Denver, CO, Charlotte, NC, and Stamford, CT. Only candidates who are located in the Denver, Charlotte, and Stamford areas will be considered for this position. This role is not eligible for visa sponsorship, visa transfer or C2C candidates. Requirements - Partner with the management team to ensure business questions are clearly defined, scoped, and actionable. - Leverage domain knowledge of the cable/telecom industry to quickly understand issues and data context. - Self-starter that can take ownership of critical projects from conception to actionable recommendations, directly impacting company strategy and driving measurable performance outcomes. - Develop ETL workflows in SQL to transform, clean, and join data from multiple sources into analysis-ready datasets. - Design, build, and maintain Tableau dashboards and reports that track core KPIs and business performance for executive stakeholders. - Translate analytic findings into a clear, compelling narrative supported by charts, figures, and tables. Findings - Develop professional, polished presentations in PowerPoint, emphasizing readability and clarity. Deliver insights and recommendations to senior level technical and non-technical audiences, with sensitivity to organizational dynamics. Qualifications - 5+ years of experience in data analysis, with emphasis on reliability, operations, or telecom preferred. - Demonstrated proficiency in SQL, Excel, and Tableau are required. Alteryx experience is highly desirable. - Excellent communication skills with proven ability to work cross-functionally and present to senior leaders - Detail-oriented and data savvy, with strong problem-solving and critical-thinking abilities. Proven ability to distill complex analyses into clear, actionable insights. - Strong foundation in statistics, with ability to apply appropriate analytic techniques. - Experience working in the cable/telecom industry is highly desirable. - Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related field; Master's preferred. Compensation Sand Cherry Associates is required by Colorado law to include a reasonable estimate of the compensation range for this role. This compensation range considers a wide range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. This is a consulting engagement with an expected annual salary of $100,000-$120,000. Years of experience, level of education, geographic location, unique skills/qualifications for the specific role and potential certifications can be key factors in the final compensation for this role. Benefits Our team is unique — we are passionate about what we do. At Sand Cherry, our Consultants know they are impacting and shaping our clients’ industries. We recognize our employees for their contributions. Our culture is one of the most friendly and communicative in the consulting industry. Sand Cherry is not a top-heavy organization. We offer the opportunity to be part of a digital workforce. Discover the experience that only comes with self-responsibility in the workplace. Our team members manage their own workloads and are expected to deliver exceptional work for our clients. Professional career growth is one of our main priorities, as we affirm that investing in our Consultants and empowering our people will also deliver the best results and value for our clients.

About J-Mack Technologies At J-Mack Technologies, we build software solutions that make a real difference. We support one of the nation’s largest government organizations in its mission to care for United States Veterans and their families. Our team develops the tools that help administer critical benefit programs—ensuring those who served are provided services quickly, securely, and with the dignity they deserve. Our work spans cloud platforms, machine learning, and modern web technologies. When you join J-Mack, you’re not just analyzing data—you’re helping Veterans access the benefits they’ve earned. The Opportunity You’re ready to put your analytical skills to work on problems that matter. As a Junior Data Analyst at J-Mack Technologies supporting the VA Veterans Benefits Administration (VBA), you will help transform complex datasets into actionable insights that improve outcomes for Veterans. This role is ideal for an early-career analyst with a strong foundation in statistics, programming, and data-driven problem solving who is eager to grow in a mission-focused environment. What You’ll Do - Analyze and prepare data needed for modeling and ad hoc analyses - Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner - Implement statistical and data mining techniques (e.g., hypothesis testing, machine learning, and retrieval processes) on large amounts of data to identify trends, patterns, and other relevant information - Collaborate with clients and other stakeholders to effectively integrate and communicate analysis findings - Evaluate emerging datasets and technologies that may supplement existing analytical platforms

About the role - Howard Financial is seeking for Data Science, Computer/Systems Engineering, Mathematics, Statistics, Physics or Economics professional to join our operations team. This role is critical for the scalability of Howard Financial, focusing on the manual and automated migration of robust databases (100k+ rows) and the design of technological solutions to eliminate human error in the accounting workflow. Your mission is to transform manual processes into efficient, programmable, and high-quality automated workflows. What you'll do - Design and execute internal automated processes to eliminate manual intervention and eradicate errors in financial data handling. - Implement code components using languages such as Python or SQL to transform and analyze data according to the integration requirements of the ecosystem. - Perform rigorous testing and debugging to ensure every automation is stable and accurate before being deployed into production. - Lead the technical migration of client databases exceeding 100,000 rows, guaranteeing the total integrity of every record. - Act as the "data guardian," validating that property and entity mapping is 100% accurate between sub-ledgers and the ERP (Sage Intacct). - Create and update mapping guides to standardize the onboarding of new clients into the financial ecosystem. - Oversee the seamless data flow between Guesty (PMS), Ramp (AP), Paylocity (Payroll), and Sage Intacct. - Develop automated "three-way reconciliation" processes to manage high-volume bank and system transaction matching. - Validate balances in clearing accounts and resolve daily sync failures to ensure accounting is ready by the start of the U.S. business day. Qualifications Required - Bachelor's or technical degrees in Systems or Software Engineering, Data Science, Statistics or Mathematics, Economics or Finance - Minimum of 2 years in data analysis, data engineering, or similar roles with a strong focus on automation. - SQL & Programming: Expert ability to write complex queries (JOINs, CTEs) and develop automation scripts. - Advanced Excel: Mastery of VBA/Macros and Power Query to handle robust datasets (100k+ rows). - English Level B2+ Prefered: - Financial Tools: Previous experience with Ramp, Paylocity, Guesty, or similar ERP/Integration systems is highly valued. - Accounting Logic: Understanding of Accrual Basis Accounting to ensure that all developed scripts respect financial logic. Benefits - Competitive pay – based on experience and role. - Quarterly performance bonus – tied to team and individual results. - Unlimited paid time off after six months of being employed. - Remote work – collaborate with a global team from wherever you are. - 10 paid holidays per year – local or U.S. holidays, your choice. - Annual performance reviews – with clear feedback and salary discussions. - Career growth opportunities – we support your development and next steps. - Learning culture – we value curiosity, feedback, and continuous improvement. - Supportive team – sharp, friendly people who care about great work.

• Play a key role in turning data into actionable insights that drive business decisions. • Work closely with stakeholders to understand needs and analyze complex datasets. • Deliver clear, impactful reporting and recommendations. • Transform raw data into meaningful analysis and build intuitive dashboards. • Enable self-service analytics across the organization. • Own the full cycle of data processing from problem identification to strategic recommendations.