There’s a reason Insperityis named one of the top 100 companies to work for in the U.S. Want to work for us and find out why? As a trusted advisor to America’s best businesses for more than 35 years, Insperity provides an array of human resource and business solutions designed to help improve business performance. In addition, we provide the client company and their worksite employees with a wide array of value-added benefits and services. Insperity offers a competitive compensation package and a world-class benefits package, including 19 days paid time off, 9 paid holidays, medical, dental and vision benefits, 401k and tuition reimbursement. At Insperity, we’re committed to providing a positive work environment, and to helping our employees succeed both personally and professionally. Data Analyst We are currently seeking a Data Analyst to join our team. This position is responsible for analyzing, quantifying, and converting all prior compensation an employee information from various third-party vendors for all Workforce Acceleration (WX) and Workforce Administration (WA) clients. This includes reporting and analytics needs, conversion template designs and the import process into the WX / WA system. Responsibilities Creates standard template design for all client set ups. Acts as a liaison between the client and HCM Analyst to gather and communicate expectations on the data conversion process. Adheres to Insperity’s sensitive data policy utilizing secure e-mail and / or workspace application(s). Manages multiple projects and their associated deadlines as set by the implementation project manager in order to meet project goals. Utilizes client provided source documents and chooses best methodology, PDF data entry, or conversion to excel templates to import employee indicative and culmulative data into WX / WA system. Conducts data extraction from client(s) existing HCM platform(s). Completes the import of employee indicative and cumulative data into iSolved. Completes the import of historical hours for Affordable Care Act as required per client specific lookback period as requested. Collaborates with HCM Analysts regarding unmapped data in iSolved to ensure that data is accurately converted upon and after import. Works accurately with large amounts of data : facts, figures, and computations in order to develop, implement and balance per client and product design. Provides confident data analysis and consultation that drives the successful completion of all WX / WA projects. Builds and manages cross team relationships. Collaborates with Implementation Manager(s) to create documentation. Assists in the accomplishment of Insperity Company goals. Helps other employees to accomplish Insperity Company goals. Performs other duties as may be assigned by department supervisor. Participates in the Disaster Recovery plan as required. Requirements Bachelor’s Degree in a related field is required. Three to five years of experience in business operations, data mining, and analytics is required. MS Excel Certification is preferred. In depth knowledge of Microsoft Excel. Application programming skill is preferred. Basic iSolved knowledge. Demonstrated skill in analysis, problem solving, mathematics, and capable of communicating complex concepts to client and internal stakeholders. Demonstrated time management skills allowing for handling multiple projects simultaneously. Flexibility and ability to build rapport and establish credibility and trust with client and internal stakeholders. Strong verbal and written communication skills with the ability to interact with all levels of management. An in-depth understanding of total business consultation coupled with the ability to thrive in a fast paced environment. Basic understanding of payroll earnings, deductions, taxes and multi-jurisdictional tax data conversion Insperity provides a reasonable range of minimum compensation. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. The range of starting pay for this role is $58,000-$64,000 At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

LHH is partnering with a company in Houston in their search for an Operational Data Analyst. As an Operational Data Analyst, you will be responsible for collecting, analyzing, and interpreting large sets of operational data to provide valuable insights and support informed decision-making. The ideal candidate is a detail-oriented problem solver with a strong analytical mindset and a passion for turning data into actionable recommendations. Responsibilities : Collect and analyze operational data from various sources, including databases, spreadsheets, and data management systems. Develop and maintain data models, dashboards, and reports to track key operational metrics and performance indicators. Identify trends, patterns, and anomalies in data and present findings to stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven insights and recommendations. Identify areas for process improvement, operational efficiency, and cost optimization through data analysis. Monitor and evaluate the effectiveness of implemented solutions and initiatives. Develop and maintain documentation of data analysis methodologies, processes, and results. Stay up-to-date with industry best practices and emerging trends in data analysis and operational excellence. Qualifications : Bachelor's degree required. Proven work experience as a Data Analyst or in a similar role, preferably within the oil and gas industry. Experience using Maximo and Python software

Our client, the leading integrated power company, is seeking a CORP - Data Analyst Location : Remote Position Type : Contract Job Summary : The Company East team is seeking a Digital Data Analyst to lead the reporting and analysis of digital data across a suite of consumer properties (prospect website, online account area, mobile apps). The candidate will be responsible for analyzing and reporting on the behavior of customers on all digital properties and working with teams across the department to provide data driven solutions to optimize and align experiences to our digital strategy. Essential Duties / Responsibilities : Create and Analyze Digital Analytics reporting from Google and Adobe Analytics Work with our experience team to identify data driven opportunities for optimization and improvement Create robust analysis of optimization tests and enhancements Conglomerate data from a variety of sources (Adobe Analytics, Behavioral Analytics Tool, Offline Data) into easy to comprehend reporting / dashboards Report and communicate digital campaigns results Support ad-hoc requests for insights Work with external teams including technical partners to ensure data integrity and enhance available information Manage multiple and concurrent projects, and initiatives, keeping them on schedule and within scope Analyze, document, and communicate results and data-driven recommendations of all initiatives and A / B / N tests to stakeholders regularly Model and identify trends within the digital experience Collaborate with Digital Experience Team, Designers, Developers, Content / SEO Team and Product Owners to provide data, insights and reporting needed to successfully execute digital strategy Minimum Requirements : 2+ years of relevant work experience Bachelor's Degree in Statistics, Mathematics, Economics, Business Intelligence or similar degree preferred Previous experience with Digital Ecommerce Analysis Proficiency with : Digital Analytics (i.e. Google Analytics, Adobe Analytics, mobile app analytics) R, Python, or similar language Data Analysis Familiarity with A / B / n and Multi-Variate Testing Strong analytical, organizational and project management skills with excellent verbal and written ability Proficiency with MS Office Preferred Qualifications : Energy experience preferred, but not required Familiarity with digital experience and optimization Working Conditions : Remote work position Some overtime required as special projects arise Travel N / A

Title : Digital Data Analyst Location : Remote Duration : 6 month plus Work Requirements : US Citizen, GC Holders or Authorized to Work in the US The Digital Data Analyst will be responsible for the reporting and analysis of digital data across a suite of consumer properties (prospect website, online account area, mobile apps). The candidate will be responsible for analyzing and reporting on the behavior of customers on all digital properties and working with teams across the department to provide data driven solutions to optimize and align experiences to our digital strategy. Essential Duties / Responsibilities : Create and Analyze Digital Analytics reporting from Google and Adobe Analytics Work with our experience team to identify data driven opportunities for optimization and improvement Create robust analysis of optimization tests and enhancements Conglomerate data from a variety of sources (Adobe Analytics, Behavioral Analytics Tool, Offline Data) into easy to comprehend reporting / dashboards Report and communicate digital campaigns results Support ad-hoc requests for insights Work with external teams including technical partners to ensure data integrity and enhance available information Manage multiple and concurrent projects, and initiatives, keeping them on schedule and within scope Analyze, document, and communicate results and data-driven recommendations of all initiatives and A / B / N tests to stakeholders regularly Model and identify trends within the digital experience Collaborate with Digital Experience Team, Designers, Developers, Content / SEO Team and Product Owners to provide data, insights and reporting needed to successfully execute digital strategy Working Conditions : Remote work position Some overtime required as special projects arise Travel N / A Minimum Requirements : 2+ years of relevant work experience Bachelors Degree in Statistics, Mathematics, Economics, Business Intelligence or similar degree preferred Previous experience with Digital Ecommerce Analysis Proficiency with : Digital Analytics (i.e. Google Analytics, Adobe Analytics, mobile app analytics) R, Python, or similar language Data Analysis Familiarity with A / B / n and Multi-Variate Testing Strong analytical, organizational and project management skills with excellent verbal and written ability Proficiency with MS Office Preferred Qualifications : Energy experience preferred, but not required Familiarity with digital experience and optimization Our benefits package includes : (EXCLUDE on perm placements) Comprehensive medical benefits Competitive pay, 401(k) Retirement plan and much more! About INSPYR Solutions : As a leading information technology partner, we connect top IT talent with our clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. We understand and value the unique needs of highly-skilled information technology professionals in the industry and always strive to stay above the curve. Our company was founded on the following core values : Be the Best, Understand the Urgency, Never Ever Give Up, Have the Courage to Excel, and Make a Contribution. We take pride in our business model and strive to create a positive workplace environment through an exemplary culture. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment. Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks. Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines. Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends. Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data / analytics technologies on the cloud. Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations. Tasks Analysing which data is important to the task at hand and which is irrelevant. Segregation, classification and analysis of data. Identifying major trends. Compilation of reports based on analysis, keeping in mind the end user’s requirements. Presentation of findings in the form of graphs, tables, charts and multimedia presentations. In some cases performing data mining tasks, for predictive or forecasting purposes. Design and maintenance of databases, including security issues. Requirements create reports for internal teams or clients outside the company. Join forces with other team members to gather and examine data. To visualize data, use graphs, infographics, and other techniques. Create KPIs to assess the success of business choices To obtain useful information, big data sets need be structured. Process information with a group of analysts and other colleagues. Make presentations and reports based on the results and recommendations. Benefits Paid time off Vision insurance Life insurance Health insurance Dental insurance 401(k) Effectively collaborate with teams for problem-solving and resolving issues. Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track. Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs. Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow. Experience with automated tools to extract data from primary and secondary sources. Utilize technical expertise to ensure data is accurate and high-quality.