EquipmentShare is Hiring a Data Analyst - Entry Level EquipmentShare is searching for a Data Analyst for our corporate Operational Analytics team, which is part of the Business Analytics department. This new team member may be based anywhere in the United States and offers a remote / hybrid work option. Our corporate headquarters are in Columbia, MO with satellite corporate offices in Denver, CO and Kansas City, MO. As a Data Analyst, you will use your data expertise to help departments throughout the company with analytics needs. These projects are wide ranging and could include anything from supply chain, procurement, pricing, and warranty to telematics. This new team member will solve problems and provide insights that directly impact the company. Primary Responsibilities / Qualities for a Data Analyst Have grit. Be inquisitive and find personal fulfillment in solving problems. Provide Tier 1 support for all team reports and processes. Partner with departments (one or multiple) to understand their processes, plan consistent desired actions, and provide data to drive those desired actions. Identify and validate accuracy of product’s Key Performance Indicators and communicate valuable discoveries to stakeholders. Create reports and dashboards to share results of your findings with branches, departments, or executive leadership. Understand user behaviors and the feasibility of projects. This will require a deep understanding of departments, processes, and applications. Take manual processes and automate them. Be a team player. Be willing to pivot on tasks to deliver the most important company needs. Why We’re a Better Place to Work Competitive salary Medical, Dental, Vision and life insurance benefits 401(k) plus match Unlimited paid time off Stocked breakroom and full kitchen - breakfast and lunch provided daily by our chef and his team at Corporate HQ Corporate gym and / or gym stipends Volunteering and local charity initiatives that help you nurture and grow the communities you call home Opportunities for career and professional development with conferences, events, seminars, continued education About You Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. Skills & Qualifications for a Data Analyst Minimum Qualifications : Bachelor's degree in Business, Data Analytics, Economics, Computer Science or other technical degree. Coding Certifications will also be considered. Experience using SQL to solve problems BI Dashboard experience (Looker preferred, but not required) Comfort working in a highly agile and fast paced environment Excellent proficiency in Microsoft Excel or Google Sheets Effective communication skills : Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates Self-motivated and self-managing, with strong organizational skills Preferred Qualifications : Master’s degree in Business, Data Analytics, Economics, Computer Science or other technical Degree. Internship experience in a Data Analytic role Experience performing ETL with Python About EquipmentShare EquipmentShare is dedicated to creating a connected jobsite for the modern contractor . We deliver user-friendly technology solutions that help contractors maximize their equipment uptime, reduce risk exposure and increase productivity. EquipmentShare’s product offerings include an improved equipment rental experience, fleet tracking and asset management software, hardware security solutions and predictive service and maintenance applications. EquipmentShare is the fastest-growing, independently owned construction equipment rental company in the country. We. and are on track to create a national footprint in every major market in the country by the end of 2023. Since our founding in 2014 and incorporation in 2015, we’ve had nationwide growth and we’re not stopping anytime soon. Ready to support our mission, invest in yourself and discover your potential? Then we’d love to meet you. Apply today. EquipmentShare is an EOE M / F / D / V LI-Remote

At this time, we are seeking applicants that are eligible to work in without any sponsorship requirements either now or in the future. Overview : In this role, Data Analyst will analyze, refine, and integrate complex data to help our customers solve important business problems. Partner with our Customer Success Managers and Senior Data Dcientists to uncover actionable data insights, you’ll get to dive deep into the automotive world. Responsibilities Acquires data from multiple data sources either ming the data from our databases and / or collecting the data from our data scientist teams. Utilize technical expertise to ensure data is accurate and high-quality. Analyzes complex data sets using statistical techniques to interpret trends and patterns. Utilize data cleaning, data validation and data presentation techniques and organizes the data to generate reports and presentations. Skills Requirements : Minimum 3 years of professional work experience in Data Analysis and working with complex data sets is required. Strong analytical skills with the ability to collect, analyze, organize, and disseminate significant amounts of information. Attention to details with 100% accuracy is required to generate meaningful data driven reports and presentations. Proficient in writing complicated SQL queries, Python scripts, report writing and presenting findings. Ability to work well in a fast-paced, dynamic environment. Able and willing to learn new concepts / skills quickly. 3 years of professional work experience in writing complex SQL Queries including but not limited to Joins and Views At least 1 year of professional work experience utilizing Python Scripts At least 6 months of Professional work experience using Tableau and SSRS Extensive experience using MS Excel for data manipulation. Powersports / Marine / RV dealership experience preferred Able to provide work examples and willingness to take written tests Salary Range : $86,000 - $105,000 CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location. The total compensation package for this position may also include annual performance bonus, benefits and / or other applicable incentive compensation offer Medical, dental, and vision benefits in addition to : Paid Time Off (PTO) 401K Matching Program Tuition Reimbursement At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact. CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law. Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.

Position : Data Analyst / Analytics Duration : 36+ months Location : Atlanta, GA 30308 onsite 3 days a week I am looking for a Data Analyst with 2-5 years of experience in SSIS and data visualization tools experience. The ideal candidate would have some experience in predictive modeling and machine learning techniques along with the ability to interpret data accurately and present the results. QUALIFICATIONS Masters Degree in a quantitative discipline or minimally a Bachelors Degree from an accredited university with a focus in Business Analytics, Economics, Computer Science, Mathematics, Engineering, Finance, or other related fields of study Advanced proficiency in Microsoft Office programs (Excel, Word, PowerPoint, Access) Strong experience solving analytical problems using quantitative approaches. Proven record of experience working with large, complex databases and use of statistical models for valuation or prediction Advanced proficiency using data warehouse and data mining tools, especially SQL. Experience collecting data from multiple sources using automation and ETL tools such as SSIS. Experience with visualization tools such as Tableau and Power BI Working knowledge of predictive modeling and machine learning techniques, coupled with the ability to accurately interpret and present results. Ability to manage multiple projects simultaneously with several cross-functional stakeholders in a timely fashion with measurable results. Did you know about Sterling? As a Sterling W2 employee on contract, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan. Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.

Description Your Role The Data Analyst will perform data acquisition, transformation, enrichment, and analysis in support of Internal Audit activities. The Data Analyst will liaise and collaborate with Risk Intelligence and Analytics colleagues and Internal Audit teams to design creative use cases, acquire, transform, enrich, and analyze data to deliver meaningful results and insights to stakeholders. You will be responsible for : Acquiring, transforming, enriching, and analyzing data supporting risk and control related activities Designing, building, and maintaining analytical tools supporting individual tasks and projects Developing and maintaining programming code, software packages, and data sets to supporting ongoing analytics activities Exercising judgment in determining application of data analytics for business processes Keeping apprised of broader Risk Intelligence activities, capabilities to maximize effective use of strategic development and technologies Supporting business partners, data analysts, consumers’ understanding of analysis logic and outcomes Introducing new data analytic techniques, tools, and technologies to business partners and consumers Sharing learnings and alternative techniques with other Engineers and Data Analysts Performing other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit Actively contributing to developing a culture of innovation within the department and risk and control awareness throughout the organization The experience you bring : Minimum of 3-4 years of experience in data analysis, data transformation, or data-related risk management or auditing roles; previous experience in programming will be considered Bachelor’s degree in Information Systems, Finance, Accounting, or Economics preferred. Other technology or quantitative related degrees considered depending upon relevant experience Experience with auditing, compliance, or other risk management activities preferred Experience within the financial services sector preferred Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. Experience using end user data analytics software such as Tableau, PowerBI, SAS, Excel a plus Experience with data interrogation and enrichment using Snowflake a plus Proficient in code development supporting data analytics and visualization a plus, specifically programming languages and libraries such as R, Python, Streamlit, Snowpark, and Plotly Understanding of capital markets, financial securities, and financial concepts such as portfolio management, regulatory compliance, and risk management Familiarity with information systems utilized by asset management firms, such as order management systems and portfolio management systems a plus Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.) Demonstrated ability to work in a diverse, cross-functional, and international environment Professional audit, risk management, analytics, business intelligence, and / or development designation (e.g., CPA, CISA, CIA, CFA, CAP, CBIP, or other relevant product specific certificates) or actively pursuing the completion of such designation preferred Other certifications considered depending on domain and relevant experience Potential for up to 10% domestic and international travel Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. What’s in it for you? Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including : Flexible time off and opportunities for a flexible work schedule 401(K) matching of 100% up to the first 6% with additional supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified Data Analyst to join our client’s organization and contribute to their ongoing success. Responsibilities : Collect information and generate reports on the key metrics related to Call Center Ops Involve in providing day-to-day reporting and analysis around agent level performance, call flow and other communication channels thereby improving customer experience Collaborate with CSR teams in identifying potential operational issues and constraints Responsible for monitoring and maintenance of core processes, features, and functions Ability to understand different process flows and diagnose issues through cross functional collaboration across platforms and teams Work with developers, other analysts, and management to support process improvement opportunities Effectively prioritize and manage escalations on all issues and concerns Other Duties Develop and propose analytical solutions and strategies to tackle business challenges. Collaborate with business teams. Collect and organize data from primary and secondary data sources and databases using SQL. Interpret data, structure analyses, and analyze results using statistical techniques, and programming languages (Python, R) to provide recommendations to different business functions Analyze data using statistical models and analysis to solve business issues Develop basic AI / ML models (e.g., Decision trees, Regression) to support a variety of business outcomes, such as but not limited to underwriting, operations etc. Create reports using BI tools (Tableau, PowerBI, Excel) and databases to addresses specific issues At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities. As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package. OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.