data analytics analyst

DICETEK LLC

<div>Data Analyst / Business Intelligence Analyst
We are seeking a highly analytical and results-driven Data Analyst / Business Intelligence Analyst with strong expertise in data visualization, reporting, ETL processes, and data warehousing. The ideal candidate will have experience transforming complex datasets into actionable business insights using tools such as Tableau, Power BI, SQL, and cloud-based databases.
Key Responsibilities:<ul><li>
Gather and analyze reporting requirements from business stakeholders and management teams.</li><li>
Design, develop, and maintain interactive dashboards, reports, and BI solutions using Tableau and Power BI.</li><li>
Develop and optimize ETL pipelines, data warehouses, and data marts.</li><li>
Perform data extraction, transformation, validation, and analysis from multiple data sources.</li><li>
Conduct exploratory and descriptive data analysis to identify trends, customer behavior, revenue patterns, and business opportunities.</li><li>
Generate operational, financial, sales, and customer analytics reports for various business functions.</li><li>
Support ad-hoc reporting requests and provide actionable insights to leadership teams.</li><li>
Create and maintain data models including dimensions, facts, joins, and relationships.</li><li>
Collaborate with cross-functional teams including Sales, Finance, Marketing, HR, and Customer Success.</li><li>
Ensure data accuracy, integrity, and consistency through testing and validation processes.</li></ul>
Required Skills &amp; Expertise:<ul><li>
Strong experience with SQL, PostgreSQL, Oracle SQL Developer, and Amazon Redshift.</li><li>
Hands-on experience with Tableau, Power BI, and advanced Excel reporting.</li><li>
Knowledge of ETL tools and data warehousing concepts.</li><li>
Experience in dashboard development, KPI reporting, and business analytics.</li><li>
Understanding of data modeling, data marts, and BI architecture.</li><li>
Familiarity with AWS cloud environments and reporting ecosystems.</li><li>
Strong analytical, problem-solving, and communication skills.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, Data Science, or related field.</li><li>
Master&rsquo;s degree in Data Science is preferred.</li><li>
Tableau Desktop Specialist or similar BI certifications are an advantage.</li><li>
Experience with customer analytics, churn analysis, cohort analysis, and revenue reporting is preferred.</li></ul>
Experience Required:<ul><li>
4&ndash;6 years of experience in Data Analytics, Business Intelligence, or Reporting roles.</li></ul></div>

Data Analyst / Business Intelligence Analyst

Assembly Industries

<div>Job Brief &ndash; Data Analyst 
 
Project Duration: 3 months 
 
Why work for us 
Talent is distributed but Opportunities are not &ndash; Assembly Industries is breaking that pattern by building an AI-enabled talent platform that connects top-tier, highly skilled global professionals with innovative companies across the US. As a fast-growing startup, we are laser-focused on impactful growth, agile strategies, and exceptional results. 
 
Client Overview 
Our client is a global workforce solutions provider that delivers comprehensive talent management services. By leveraging advanced technology, expert consulting, and dedicated delivery teams, they help organizations streamline and optimize their talent acquisition and management processes. 
 
Position Overview 
We are seeking a highly analytical and detail-oriented Data Analyst to support our client's Business Intelligence (BI) team. This role involves the creation, delivery, and automation of key reports across multiple client programs. The selected candidate will collaborate closely with the BI team and play a key role in transforming Excel-based reports into automated, scalable Power BI dashboards. 
 
Description of Essential Duties and Functions<ul><li>
Create, maintain, and deliver accurate reports for various client programs using Excel and Power BI.</li><li>
Collaborate with the client's BI team to understand current manual reporting structures and help transition them to automated Power BI reports.</li><li>
Ensure timely delivery of recurring and ad-hoc reports while maintaining a high level of accuracy and relevance.</li><li>
Interpret data, analyze results using statistical techniques, and provide ongoing reports to support business decision-making.</li><li>
Understand client&rsquo;s existing methodologies and apply Power BI knowledge to enhance reporting processes.</li><li>
Coordinate with stakeholders to gather report requirements and deliver actionable insights.</li></ul>
Qualifications<ul><li>
Proven experience as a Data Analyst, Reporting Analyst, or similar role.</li><li>
Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, and charting.</li><li>
Hands-on experience with Power BI, including dashboard creation, DAX, data modeling, and Power Query.</li><li>
Ability to learn and adapt to existing BI methodologies and reporting practices.</li><li>
Solid understanding of data analytics, business metrics, and reporting workflows.</li><li>
Excellent communication skills to interact effectively with global teams.</li><li>
Strong attention to detail and time management, especially in remote work environments.</li><li>
Experience working with international teams or across time zones is a plus.</li></ul><div>
This is a remote position. 
 
#LI-RR1</div>
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Data Analyst

Catena Solutions

<div>
 <ul>
 <li>
 Financial Data Analyst
 </li>
 <li>
 Remote after onboarding
 </li>
 </ul>
 
 
 
 
 A growing organization is looking for a highly analytical and detail-oriented Financial Data Analyst to join their team. This is an excellent opportunity for someone early in their career who enjoys working with data, improving processes, and partnering cross-functionally within a collaborative environment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Support recurring dashboard/report refreshes and ad hoc reporting requests
 
 
 &bull; Assist with financial and vendor data uploads, validation, and database maintenance
 
 
 &bull; Build and improve workflows, reporting processes, and analytical models
 
 
 &bull; Monitor and maintain data quality across multiple systems and sources
 
 
 &bull; Partner with internal teams to drive process improvements and operational efficiencies
 
 
 &bull; Support strategic initiatives through data analysis and actionable insights
 
 
 
 
 
 
 Job Requirements:
 
 
 
 &bull; 0&ndash;2 years of experience working with data, analytics, accounting, or finance
 
 
 &bull; Bachelor&rsquo;s degree in Finance, Accounting, Data Analytics, or related field
 
 
 &bull; Strong Excel and Microsoft Office skills
 
 
 &bull; Exposure to Tableau, Google Analytics, SQL, Oracle Hyperion, Adaptive, or Datarails is a plus
 
 
 &bull; Strong communication skills with high attention to detail and organizational abilities
 
 
 &bull; Comfortable working independently while collaborating cross-functionally
 
 
 
 
 
 Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.
 
 
 At Advanced Group, our commitment to diversity and inclusion in every part of our organization is crucial to fulfilling our mission and demonstrating our REAL values. Advanced Group is committed to providing employment opportunities without regard to sex, race, color, age, national origin, religion, gender identity or expression, sexual orientation or sexual preference, pregnancy or maternity, genetic information, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.
 
 
 Advanced Group complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact accommodationrequest@advancedgroup.com.
 
</div>

Financial Data Analyst

Confidential Careers

<div>
 
 The
 
 Data Analyst
 
 is responsible for analyzing large datasets, identifying trends and anomalies, and generating data-driven insights to support investigations, risk assessment, compliance, and business decision-making. The role focuses on data validation, reporting, dashboard development, and supporting fraud detection and operational improvement initiatives through advanced analytics techniques.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze financial and operational data to identify trends, anomalies, and irregularities.
 </li>
 <li>
 Develop dashboards and reports using Excel, SQL, and Power BI to support data-driven decision-making.
 </li>
 <li>
 Perform data validation, cleansing, and quality checks to ensure accuracy and reliability of information.
 </li>
 <li>
 Conduct analytical reviews of transactions, system logs, and operational records.
 </li>
 <li>
 Support investigations and internal audit activities through data analysis and reporting.
 </li>
 <li>
 Monitor data patterns and provide insights related to operational risks and control gaps.
 </li>
 <li>
 Collaborate with Internal Audit, IT, Finance, HR, and Operations teams to gather and validate data.
 </li>
 <li>
 Prepare structured analytical reports and presentations for management review.
 </li>
 <li>
 Support automation and continuous monitoring initiatives to improve reporting efficiency.
 </li>
 <li>
 Ensure compliance with data confidentiality, governance, and information security requirements.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Information Technology, Computer Science, Accounting, Business Analytics, or related field.
 </li>
 <li>
 3&ndash;5 years of experience in data analysis, business intelligence, reporting, or analytics-related roles.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong proficiency in Excel, SQL, and Power BI.
 </li>
 <li>
 Knowledge of data visualization, reporting tools, and data analytics techniques.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to interpret complex datasets and provide actionable insights.
 </li>
 <li>
 Experience in internal audit, risk, or fraud analytics is an advantage.
 </li>
 <li>
 Strong communication and reporting skills.
 </li>
 </ul>
 
 
</div>

MaintainX

<div>
 MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
 
 
 We're growing fast and hiring the talent to match.
 
 
 As a
 
 Data Analyst - GTM
 
 , you will use your expertise in analysis &amp; BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data &amp; Analytics team - who are tasked with supporting MX as a whole.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner&mdash;anticipating needs &amp; prioritizing execution
 </li>
 <li>
 Accountable for marketing BI infrastructure: Build, maintain &amp; enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
 </li>
 <li>
 Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
 </li>
 <li>
 Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
 </li>
 <li>
 Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
 </li>
 <li>
 Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
 </li>
 <li>
 Budget setting: Support stakeholders with goal setting &amp; related reporting
 </li>
 <li>
 Information sharing: Present dashboards, results and recommendations
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
 </li>
 <li>
 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
 </li>
 <li>
 You're a builder, not just an analyst: You don't just answer questions&mdash;you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
 </li>
 <li>
 You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
 </li>
 <li>
 You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
 </li>
 <li>
 Strong proficiency in Tableau and Salesforce
 </li>
 <li>
 Excellent SQL skills and experience with database management systems &amp; pipelines
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Competitive salary and meaningful equity opportunities.
 </li>
 <li>
 Healthcare, dental, and vision coverage.
 </li>
 <li>
 401(k) / RRSP enrollment program.
 </li>
 <li>
 Take what you need PTO.
 </li>
 <li>
 A Work Culture where:
 </li>
 <ul>
 <li>
 You&rsquo;ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
 </li>
 <li>
 We believe in meritocracy, where ideas and effort are publicly celebrated.
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 Our mission is to deliver one platform for maintenance, repair &amp; operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That&rsquo;s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
 
 
 MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>

Data Analyst, GTM

Thermo Fisher Scientific

<div>Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
At Thermo Fisher Scientific, you'll support our mission to make the world healthier, cleaner and safer as a Data Analyst III. In this role, you'll transform complex data into actionable insights that drive strategic decision-making across the organization. You'll collaborate with cross-functional teams to develop and maintain scalable analytics solutions, create intuitive visualizations, and deliver critical reporting that enhances business performance. Using your expertise in data analysis and visualization tools, you'll identify trends, opportunities, and areas for optimization while ensuring data accuracy and integrity. You'll provide analytics guidance, proactively recommending solutions and improvements based on your findings. This role combines technical expertise with business acumen to deliver impactful insights that support our company's continued growth and success. 
What Will You Do? 
 
Thermo Fisher Scientific is seeking a highly motivated and analytical Data Analyst III to join the Enterprise Services team. In this role, you will transform complex data into actionable insights that drive strategic decision-making across the organization. You will collaborate with cross-functional stakeholders to develop scalable analytics solutions, create intuitive dashboards and visualizations, and deliver reporting that improves operational and business performance.
The ideal candidate is a self-starter with strong technical and business acumen who enjoys solving complex problems, uncovering hidden insights in data, and delivering impactful reporting solutions. This position requires expertise in Power BI, SQL, and data analytics best practices, along with the ability to communicate effectively with both technical and non-technical audiences. 
 
Key Responsibilities<ul><li>
Partner with business stakeholders to gather requirements and develop scalable, high-performing Power BI solutions.</li><li>
Analyze complex datasets to identify trends, opportunities, and actionable business insights.</li><li>
Design, build, deploy, and maintain reporting and dashboards for internal users and external customers.</li><li>
Participate in business and executive meetings to understand reporting needs and recommend BI solutions.</li><li>
Support end users in effectively utilizing reporting platforms and analytics tools.</li><li>
Develop SQL-based database objects and datasets to support reporting and analytics initiatives.</li><li>
Create reporting solutions to monitor and improve data quality and integrity across systems.</li><li>
Collaborate closely with Operations teams to identify data inconsistencies and provide reporting support.</li><li>
Ensure data quality and integrity across data warehouse and BI platforms.</li><li>
Support development and execution of the BI roadmap aligned to business priorities.</li><li>
Develop a deep understanding of business processes, datasets, and analytics deliverables across Enterprise Services.</li><li>
Proactively identify and resolve scalability, performance, and optimization issues.</li><li>
Partner with developers, analysts, and business experts to align technical solutions with business needs.</li><li>
Evaluate tradeoffs between usability, scalability, and performance when designing reporting solutions.</li></ul> 
Requirements<ul><li>
Advanced Degree plus 3 years of experience, or Bachelor's Degree plus 5 years of experience in data analytics, business intelligence, or related role</li><li>
Degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, Statistics, or another quantitative discipline preferred.</li><li>
Relevant professional certifications (e.g., Power BI, SQL, data analytics) are a plus</li><li>
Advanced to expertise level proficiency in SQL Server, Power BI, and advanced Excel</li><li>
Experience building complex reports in Power BI with strong dashboard development and report automation capabilities</li><li>
Python skillsets is a plus</li><li>
Experience with ETL processes and data pipeline development</li><li>
Knowledge of statistical analysis and data modeling techniques</li><li>
Demonstrated ability to translate complex data into clear, actionable insights</li><li>
Experience working with large datasets and multiple data sources</li><li>
Experience in manufacturing, supply chain, or life sciences industries a plus.</li></ul>
Knowledge, Skills and Abilities<ul><li>
Capable of prioritizing multiple projects while still achieving deadlines</li><li>
Excellent written and oral communication skills with ability to respond in a timely manner with a sense of urgency</li><li>
Team player with the ability to collaborate effectively and efficiently across functions and levels</li><li>
Detail-oriented person who is passionate about quality and enthusiastic about new technology</li><li>
Highly self-driven, innovative and execution-focused, with a willingness to do &quot;what it takes&quot; to deliver results</li><li>
Ability to obtain end user requirements and execute</li><li>
Strategic, intellectually curious thinker with focus on outcomes</li><li>
Excellent knowledge of BI and data warehouse concepts and terminology</li><li>
Understanding of data governance and quality management principles</li><li>
Strong business acumen and customer focus</li><li>
Proficiency with O365 Applications including Microsoft Outlook, Word, and Excel</li><li>
Experience in manufacturing, supply chain, or life sciences industry preferred</li><li>
Must be eligible to permanently work in the US without sponsorship</li></ul></div>

TSC Auto ID Technology America

Overview Join our dynamic team as a Data Analyst Intern and dive into the exciting world of data-driven decision making! In this paid internship, you&rsquo;ll gain hands-on experience analyzing complex datasets, developing insightful reports, and supporting business strategies through innovative data solutions. This role offers a fantastic opportunity to sharpen your technical skills, collaborate with experienced professionals, and contribute to impactful projects that shape organizational success. If you&rsquo;re passionate about data analysis, eager to learn new tools, and ready to make a real difference, this is the perfect position for you!Duties<ul><li>Assist in collecting, cleaning, and transforming raw data using ETL (Extract, Transform, Load) processes to ensure accuracy and consistency across datasets.</li><li>Develop interactive dashboards and visualizations using tools like Tableau, Power BI, and Looker to communicate insights effectively to stakeholders.</li><li>Support project management activities within an Agile framework, participating in sprint planning, stand-ups, and review sessions to ensure timely delivery of data solutions.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for database design and analysis.</li><li>Use programming languages such as Python and R to perform statistical analysis, automate routine tasks, and enhance data processing workflows.</li><li>Contribute to the development and maintenance of databases on platforms like Microsoft SQL Server and Oracle, ensuring optimal performance and security.</li><li>Assist in documenting processes using Visio or similar tools while adhering to SDLC (Software Development Life Cycle) best practices for project execution.</li></ul>Experience<ul><li>Currently pursuing a degree in Data Science, Computer Science, Business Analytics or a related field with a strong interest in data analysis and visualization.</li><li>Demonstrated proficiency with SQL for querying databases and extracting meaningful insights from large datasets.</li><li>Familiarity with analytics tools such as Tableau, Power BI, Looker or similar platforms for creating compelling visual reports.</li><li>Basic understanding of database design principles and experience working with relational databases like Microsoft SQL Server or Oracle.</li><li>Knowledge of programming languages including Python or R for data manipulation and statistical analysis is highly desirable.</li><li>Exposure to ETL tools such as Talend or VBA scripting will be advantageous for automating data workflows.</li><li>Strong analytical skills combined with excellent attention to detail; ability to interpret complex data sets accurately. Embark on your analytics journey with us&mdash;where innovation meets opportunity!</li></ul>Pay: $21.00 - $30.00 per hourBenefits:<ul><li>401(k) matching</li><li>Flexible schedule</li><li>Paid time off</li><li>Vision insurance</li><li>Work from home</li></ul>Work Location: Remote

Data Analyst Intern

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Data Analyst / Business Intelligence Analyst

Data Analyst

Financial Data Analyst

Data Analyst

Data Analyst, GTM

Data Analyst

Data Analyst Intern