Data Analyst
Corporate Overview
QuinStreet makes the digital media channel affordable at scale for marketing clients. We match high-intent consumers in one of the nation’s largest media networks to the right solution and the right client.
Our industry leading segmentation & matching technology platform allows marketing clients to target and reach “research & compare” customer prospects, segment by segment. Our databases and optimization algorithms are built from almost 20 years and billions of dollars of online media experience.
We believe in the direct measurability of digital media. We believe in performance marketing. (We pioneered it.) And we believe in the advantages of technology. We bring all of this together to deliver truly great results for our clients in the world’s biggest channel.
Job Category
We are looking for an incredibly smart, dynamic and strategic Data Analyst to develop data-driven insights that enable QuinStreet’s Marketing and Media teams maximize profitability while improving customer relationships. This role will be concentrating on advancing the growth of a premium product and our external call center channel, which have already had significant early success. You will use data mining and statistical methods to extract valuable insights from our data that lead to maximizing ROI.
Responsibilities
Data diagnostics – extracting, scrubbing and patching very large sets of data together from a variety of internal and external sources
Reporting – summarizing data and automating reports around campaign performance, which will be utilized frequently in client interactions
Forecasting – creating predictive models for new and existing clients relating to site traffic, conversion and pricing
Campaign Optimization – creating hypothesis tests and regression models to continuously calibrate campaign attributes to achieve maximum client spend and ROI
Effectively communicating your insights and findings to other members of our Marketing and Media teams
Qualifications
B.S. degree in quantitative major like Statistics, Mathematics, Operations Research, Physics, Computer Science or related
M.S. degree strongly preferred in one of the majors mentioned above
3+ years of experience in an analytical role, applying statistical methods
Strong applied analytics: proven business and analysis skills
Strong and persuasive communication skills: exceptional visualization, verbal and written communication skills that have helped expand your analytical influence
Outstanding problem solving skills: you’re not just repeating a playbook, you’re looking at every problem with fresh eyes, and digging deep for insights and solutions
Independence and proactivity: self-starter with demonstrated experience in leading and delivering impactful solutions to large business problems
Interpersonal and presentation skills: you are able to confidently communicate and present insights and recommendations to senior management
Proficiency in MS Excel and familiarity with database systems (Oracle, SQL Server, etc)
Tableau and SQL experience is a plus
QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other characteristics protected by law.

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<div><p> · Develop and QC TFLs for protocols/reports/manuscripts from RWE research conducted to assess the value of the client's therapies using RWD (e.g. claims and EHR).</p><p> · QC programming for descriptive and complex studies using RWD.</p><p> · Conduct analyses and develop specifications for descriptive and complex statistics in studies using RWD.</p><p> · Write the statistical analysis plan (SAP) for descriptive and complex studies using RWD, including from internal client-sponsored prospective cohort studies, claims, charge master and EHR in collaboration with RWE TA lead.</p><p> · Understand methods and programming to support Comparative Effectiveness Research (CER) analyses, as well as analyses of patient-reported outcomes (PRO) or other patient outcome data.</p><p> · Work with RWE researchers to generate code lists for new measures in RWD.</p><p><strong>Knowledge, Skills and Experience</strong></p><p> · Master’s degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology or related discipline, such as Outcomes Research from an accredited institution, with a minimum of eight (8) years of relevant, post-graduation experience.</p><p> · Doctoral level training with a minimum of two (2) years of relevant experience is preferred. Direct experience in lieu of academic training is acceptable.</p><p> · Knowledge of real-world data and experience in observational research study design, execution and communication.</p><p> · Strong track record of analysis of a broad range of RWD.</p><p> · Formal training in Programming and demonstrated proficiency in statistical analysis programs commonly used in life sciences (e.g. SAS, R).</p><p> · Understanding of epidemiology or outcomes research and the application of retrospective or prospective studies to generate value evidence.</p><p> · Ability to effectively communicate statistical methodology and analysis results.</p><p> · Ability to work effectively in a constantly changing, diverse, and matrix environment.</p><p> · Knowledge of US secondary data sources required; additional experience with international data sources is preferred.</p><p> · Knowledge and experience in qualitative analysis and data sets (e.g., free-text natural language processing, survey data) is preferred.</p></div>
#J-18808-Ljbffr

<p>· Develop and QC TFLs for protocols/reports/manuscripts from RWE research conducted to assess the value of the client's therapies using RWD (e.g. claims and EHR).
· QC programming for descriptive and complex studies using RWD.
· Conduct analyses and develop specifications for descriptive and complex statistics in studies using RWD.
· Write the statistical analysis plan (SAP) for descriptive and complex studies using RWD, including from internal client-sponsored prospective cohort studies, claims, charge master and EHR in collaboration with RWE TA lead.
· Understand methods and programming to support Comparative Effectiveness Research (CER) analyses, as well as analyses of patient-reported outcomes (PRO) or other patient outcome data.
· Work with RWE researchers to generate code lists for new measures in RWD.
Knowledge, Skills and Experience
· Master’s degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology or related discipline, such as Outcomes Research from an accredited institution, with a minimum of eight (8) years of relevant, post-graduation experience.
· Doctoral level training with a minimum of two (2) years of relevant experience is preferred. Direct experience in lieu of academic training is acceptable.
· Knowledge of real-world data and experience in observational research study design, execution and communication.
· Strong track record of analysis of a broad range of RWD.
· Formal training in Programming and demonstrated proficiency in statistical analysis programs commonly used in life sciences (e.g. SAS, R).
· Understanding of epidemiology or outcomes research and the application of retrospective or prospective studies to generate value evidence.
· Ability to effectively communicate statistical methodology and analysis results.
· Ability to work effectively in a constantly changing, diverse, and matrix environment.
· Knowledge of US secondary data sources required; additional experience with international data sources is preferred.
· Knowledge and experience in qualitative analysis and data sets (e.g., free-text natural language processing, survey data) is preferred.

#J-18808-Ljbffr</p>

<h3>Job Description</h3><div>Job Description<div><div><p><strong>Powering Performance Marketplaces in Digital Media</strong></p><p>QuinStreet is a pioneer in powering decentralized online <strong>marketplaces that match searchers and "research and compare" consumers with brands</strong>. We run these virtual- and private-label marketplaces in one of the nation's largest media networks.</p><p>Our industry leading segmentation and AI-driven <strong>matching technologies help consumers find better solutions and brands faster.</strong> They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.</p><p>Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.</p><p>We believe in:</p><ul><li>The direct measurability of digital media.</li><li>Performance marketing. (We pioneered it.)</li><li>The advantages of technology.</li></ul><p>We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel.</p><p></p></div><p></p><p><strong>Job Category</strong></p><div><div><div><div><div>In this role, you will become a critical player in driving the success of digital marketing campaigns through data-driven strategies. Your data analysis and digital marketing expertise will empower you to uncover insights, optimize performance, and support strategic decision-making. You will collaborate closely with analysts, data scientists, machine learning engineers , and account managers to enhance campaign effectiveness, ensuring that our marketing efforts yield maximum return. This position requires a dynamic individual capable of balancing multiple projects, diving deep into complex business problems, and identifying innovative solutions that drive growth.</div><div></div><div></div><div><strong>Responsibilities</strong></div><div><ul><li>Develop a deep understanding of the related data sources and leverage them to inform business decisions</li><li>Gain a thorough understanding of our analytical tools and the automation of business processes and decision-making</li><li>Employ diverse problem-solving strategies and balance multiple simultaneous efforts in a dynamic, fast-paced environment</li><li>Embrace the opportunity to examine business problems and analyze growth opportunities</li><li>Serve as a critical resource for identifying strengths and weaknesses and deploying creative approaches to analytical challenges</li><li>Communicate insights effectively and promptly, responding to the business's analytical needs and delivering actionable plans for improving operations</li></ul><p><strong>Requirements</strong></p><ul><li>2+ years of experience in an analytical role</li><li>A curious mindset that challenges the status quo and engages various stakeholders</li><li>Ability to analyze diverse datasets and visualize key trends to draw insights from raw data</li><li>Excellent communication and presentation skills, with the ability to summarize key findings and present data-driven results</li><li>Strong analytical, statistical, organizational, and problem-solving skills, including anomaly detection, predictive analysis, market segmentation, and competitive analysis</li><li>Proficient in SQL as tool to access enterprise datasets</li><li>Experience with Tableau or a related Business Intelligence tool</li><li>Proficiency using Python/Jupyter as ad-hoc analysis tool a plus.</li></ul><div><div>The expected salary range for this position is $75,000 USD to $120,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.</div><div></div><div>#LI-REMOTE</div></div><div></div></div></div></div></div></div><p></p><div><p>QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.</p><p>Please see QuinStreet's Employee Privacy Notice here.</p><p></p><p></p></div></div></div>

<p>The Data Management Analyst supports Supply Chain through a comprehensive understanding of Master Data Management, Logistics and Sourcing operational and business needs. This position requires a thorough understanding of industry data standards, Data governance and supply chain operations. The Data Management Analyst collaborates with ITS, Operational Managers to ensure consistent data management and accurate information flow to support core enterprise functions, including Supply Chain Automation </p><p><br></p><p><strong>Job Title: Data Migration Analyst/Data Engineer</strong></p><p>Long term contract</p><p>Remote</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li><strong>Work with Agile PLM, SAP, EBS project team members and stakeholders to understand the structure, format and quality of source system data (Agile PLM, Oracle EBS and Paper Documents)</strong></li><li><strong>Support migration to and adoption of SAP business processes by mapping current PLM data model to SAP data model</strong></li><li>Participate in business requirement sessions and document data migration and transformation business rules</li><li>Use data quality analysis to recommend then drive transformation, simplification, and improved control of Inventory and data model in SAP</li><li>Interact with various project team members and stakeholders to analyze source dataset and highlight areas of inconsistencies e.g. format, non-standard List of Values, etc.</li><li>Performs data analysis to identify the patterns and business rules that can be applied to the source system data as part of the Cleansing effort</li><li>Work with process and system SMEs and data owners to verify mapping of source data to SAP system</li><li>Write scripts (based on PL/SQL) to automate verification of data migration, data integration and source data cleansing</li><li>Advanced Excel is required</li><li>Partner closely with data and business teams and support them with high quality reporting and analytics.</li><li>Be a champion for data accuracy and consistent reporting.</li><li>Expert in writing SQL and familiar with multiple data architecture paradigms (Oracle EBS, GPLM, SAP)</li><li>Perform unit testing to ensure complete and accurate migration of source data from Oracle EBS, GPLM into SAP – as per the URS, FRS, Use Case document and standards established through the deliverables.</li><li>Prior experience working for Pharma companies will be a plus.</li><li>SAP data migration experience is a plus</li></ul><p><strong>Deliverables to include:</strong></p><ul><li>Draft and finalized scripts for applying source data cleansing</li><li>Draft and finalized scripts for verification of complete and accurate dataset – as part of Migration and as well as Integration</li><li>Draft and finalized source dataset to be used during User Acceptance Testing and Validation</li><li>Document Source and target data maps and data flows</li><li>Updated Data Dictionary</li><li>Draft and finalized data analysis reports for testing</li><li>Collect and analyze data from various sources for migration to SAP system.</li><li>Develop and implement data migration strategies to ensure accuracy, completeness, and timeliness of data.</li><li>Perform data mapping, transformation, and validation to ensure data integrity and consistency.</li><li>Work with technical teams to ensure smooth migration of data into SAP system.</li><li>Identify and resolve data quality issues during the migration process.</li><li>Ensure compliance with data security and privacy policies during the migration process.</li><li>Provide guidance and support to end users for data migration-related issues.</li><li>Develop and maintain documentation of data migration processes and procedures.</li><li>Conduct thorough testing of data migration processes to ensure successful migration.</li><li>Identify opportunities to improve data migration processes and procedures.</li><li>Attention to detail</li><li>Analytical and problem-solving abilities</li><li>Ability to collaborate and work in cross-functional teams</li><li>Flexibility and adaptability to a dynamic work environment</li><li>Strong technical writing, documentation, and communication skills</li><li>Superior organization skills</li><li>Strong understanding of data protection and data governance.</li></ul><p><br></p><p><br></p><p><strong>Preferred Qualification:</strong></p><ul><li>The Master Data Specialist will be responsible for implementing, documenting, executing and continuously improving the processes of proper data entry and maintenance in our ERP, PLM systems.</li><li>Bachelor's/ Master's degree or comparable work experience. </li><li>Familiarity with SAP platform and data migration projects are a plus.</li><li>Proficient in SQL, Pl/Sql, Python (Advanced query skills, table structure and relational databases)</li><li>Prior experience working for Pharma companies will be a plus.</li><li>Good Understanding on Data Quality rules building and maintenance.</li><li>Solid analytical and problem-solving skills. </li><li>Strong oral and written communication skills</li><li>Ability to work effectively and collaboratively with internal business, technical, and external consulting teams. </li><li>Being a highly organized self-starter and having the ability to adapt and work independently in a fast-paced and quickly changing environment while still meeting critical milestones.</li></ul><p><br></p><p><br></p><p><em>The salary range provided for this contract role represents our good faith estimate for this posi tion. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package.</em> <em>I.T. Solutions, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</em></p><p></p>

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