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Temporary Data Analyst Jobs in Lawrence, MA (NOW HIRING)

Temporary Sr. Business Solutions Analyst

Boston, MA · On-site

$100K - $129K/yr

We are seeking a highly skilled Temporary Sr. Business Solutions Analyst with strong data analysis ... Data Analysis & Validation * Use SQL to query, extract, and analyze data from multiple systems to ...

We're looking for a Staff Engineer to lead V-BAT's fleet data analysis efforts. The V-BAT system ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

... their data, we make it happen. All it takes is finding the right combination of tech hardware ... This is a temporary position Applicants must be authorized to work for any employer in the U.S. We ...

... their data, we make it happen. All it takes is finding the right combination of tech hardware ... This is a temporary position Applicants must be authorized to work for any employer in the U.S. We ...

... their data, we make it happen. All it takes is finding the right combination of tech hardware ... This is a temporary position Applicants must be authorized to work for any employer in the U.S. We ...

... and analysis of data, simulation models and other statistical programming as needed. • Additional duties may be assigned, either temporary or permanent based upon company needs. Education ...

The responsibilities include end-to-end solution design, configuration, implementation, data ... Temporary associates are provided three options for medical insurance as well as dental and vision ...

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Temporary Data Analyst information

See Lawrence, MA salary details

$35.7K

$86.7K

$142.7K

How much do temporary data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for temporary data analyst in Lawrence, MA is $86,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $101,800.00 per year, depending on experience, location, and employer.

What is a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

What are the key skills and qualifications needed to thrive as a temporary data analyst, and why are they important?

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

Can I be a temporary data analyst in 3 months?

Becoming a temporary data analyst in three months is possible if you have prior experience or relevant skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. Typically, employers look for candidates with some technical knowledge and the ability to quickly learn new software, but completing a short-term training program or bootcamp can also help you qualify within that timeframe.

Can I be a temporary data analyst with no experience?

Temporary data analyst positions often require some familiarity with data analysis tools like Excel or SQL, but entry-level roles may be available for candidates with minimal experience if they demonstrate strong analytical skills and willingness to learn. Gaining relevant certifications or completing online courses can improve chances of securing such roles without prior experience.

Can you be a temporary data analyst as a side hustle?

Yes, a temporary data analyst can often work as a side hustle if their schedule allows and they have the necessary skills in data analysis tools like Excel, SQL, or Python. Freelance or part-time data analysis projects are common options for supplementing income outside of full-time roles.

What are the most commonly searched types of Data Analyst jobs in Lawrence, MA?

The most popular types of Data Analyst jobs in Lawrence, MA are:

What cities near Lawrence, MA are hiring for Temporary Data Analyst jobs?

Cities near Lawrence, MA with the most Temporary Data Analyst job openings:

Temporary Sr. Business Solutions Analyst

K&L Gates

Boston, MA • On-site

$100K - $129K/yr

Temporary

Re-posted 6 days ago


K&L Gates rating

7.4

Company rating: 7.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

28th of 34 rated law firms


Job description


At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.
We are seeking a highly skilled Temporary Sr. Business Solutions Analyst with strong data analysis, data governance, and Agile delivery experience to act as the bridge between business stakeholders and technical teams.
The ideal candidate will have hands-on expertise with SQL, Microsoft Purview (data mapping and unified catalog), and Power BI, along with proven experience working in an Agile environment. This role involves gathering and translating business requirements into technical specifications, defining business rules, mapping data from source to target systems, validating KPIs, and ensuring alignment between business objectives and data-driven solutions.
Key Responsibilities:
Business Analysis & Agile Delivery
  • Work closely with business stakeholders to gather, clarify, and document business requirements.
  • Translate business needs into technical user stories, epics, and acceptance criteria within Agile frameworks (Scrum/Kanban).
  • Maintain and refine the product backlog in collaboration with product owners and delivery teams.
  • Participate in Agile ceremonies such as sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives.
  • Ensure requirements are clearly communicated to and understood by development and data engineering teams.

Data Analysis & Validation
  • Use SQL to query, extract, and analyze data from multiple systems to validate requirements and ensure data integrity.
  • Perform data profiling and data quality assessments to identify inconsistencies or anomalies.
  • Define and document business rules, data transformations, and KPI calculations to support reporting and analytics initiatives.
  • Validate Power BI dashboards and ensure alignment between source data and business-defined KPIs.

Data Mapping & Governance (Microsoft Purview)
  • Create and maintain data mapping documentation within Microsoft Purview, linking source systems to target destinations (e.g., Power BI datasets, data warehouses).
  • Manage and update the Unified Data Catalog in Purview to ensure data assets are discoverable, properly classified, and well-documented.
  • Support data lineage tracking and metadata management to ensure transparency across the data lifecycle.
  • Collaborate with data governance and compliance teams to uphold data quality and stewardship standards.

Technical Coordination & Documentation
  • Work with data engineers, BI developers, and data architects to translate functional requirements into technical specifications.
  • Support UAT (User Acceptance Testing) by preparing test cases, validating results, and obtaining stakeholder approval.
  • Ensure traceability between user stories, data mappings, and delivered solutions.
  • Develop process flow diagrams, use cases, and system interface documentation as needed.

Required Qualifications:
  • Education:
    • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical discipline.
  • Experience:
    • 5+ years as a Technical Business Analyst, Data Analyst, or Business Systems Analyst in a data-focused environment.
    • Proven experience working within an Agile delivery framework
    • Strong hands-on experience writing user stories, epics, and acceptance criteria in tools such as Jira or Azure DevOps.
    • Advanced proficiency in SQL for querying, data validation, and complex data analysis.
    • Experience with Microsoft Purview (data mapping, unified catalog, lineage tracking).
    • Familiarity with Power BI data models, datasets, and KPI validation.
    • Experience collaborating with data engineers, ETL developers, and data governance teams.

Technical Skills:
  • Advanced SQL (joins, aggregations, window functions, data validation).
  • Expertise in Microsoft Purview - data mapping, lineage, and unified catalog management.
  • Strong understanding of data modeling, data warehousing, and ETL pipelines.
  • Familiarity with Power BI, including DAX logic, datasets, and visualization validation.
  • Understanding of data governance principles, metadata management, and data quality frameworks.
  • Experience using Agile tools (Jira, Confluence, Azure DevOps).

Soft Skills:
  • Excellent communication and interpersonal skills; able to translate between technical and non-technical stakeholders.
  • Strong analytical and problem-solving abilities with attention to detail.
  • Highly organized and able to manage multiple priorities in an Agile environment.
  • Self-motivated, proactive, and able to work independently and collaboratively.
  • Skilled at documentation, requirement traceability, and stakeholder alignment.

Preferred (Nice-to-Have):
  • Familiarity with Azure data ecosystem (Microsoft Fabric, Fabric Data Factory)
  • Understanding of data privacy and compliance frameworks (GDPR, CCPA).
  • Experience with data quality or data lineage tools in Purview.
  • Exposure to Python or other scripting languages for data validation.

Compensation Salary $97,392 - $182,594 / year
The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.
ABOUT THE FIRM
K&L Gates is a fully integrated global law firm with lawyers located in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.
The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.
For more information or to view other job opportunities, please click here to go back to our careers page.
Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.
Please be advised that this position requires successful completion of a background check. In accordance with the Washington State Fair Chance Act, Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, the California Fair Chance Act, and applicable law qualified California and Washington State applicants with criminal history records will be considered. A criminal history will not categorically exclude a candidate from employment, and the Firm will consider relevant factors before making employment decisions based on criminal history information.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
EQUAL EMPLOYMENT OPPORTUNITY
The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person's race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm's policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com.

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