data analytics developer

Boston University

<div>The Data Analytics Developer within Continuous Improvement &amp; Data Analytics (CIDA) is a key member of Boston University's internal consulting team, supporting leadership and stakeholders across the University to design and implement data-driven solutions that optimize operations and advance strategic decision-making. Reporting to the Manager of Consulting Services, this position plays a critical role in leading complex projects in service areas such as data visualization, automation, system integration, advisory services, facilitation, and project management. This role offers a hybrid work environment designed to foster collaboration and flexibility, with remote work for independent and internal tasks, and in-person attendance for team activities and stakeholder meetings.

Major duties of this position include:
<ul>
<li>Lead complex, cross-functional consulting engagements with a strong focus on data solutions, including defining project scope, identifying resource requirements, and managing project execution.</li>
<li>Design, build, and implement scalable data visualization dashboards, automation solutions, and business intelligence tools that directly impact strategic initiatives.</li>
<li>Analyze complex datasets and business processes to develop actionable insights, optimize workflows, and recommend system improvements.</li>
<li>Facilitate workshops and meetings with stakeholders to gather business requirements, validate findings, and deliver tailored data solutions.</li>
<li>Develop comprehensive presentations and data storytelling artifacts to communicate technical findings to a wide range of audiences, from operational staff to senior leadership.</li>
<li>Collaborate with the CIDA team on projects where process improvement complements data solutions, ensuring holistic recommendations and implementations.</li>
<li>Maintain a commitment to innovation and continuous improvement by actively identifying opportunities for enhanced service delivery through advanced analytics and automation practices.</li>
<li>Represent Financial Affairs and CIDA on committees, task forces, and University-wide initiatives, providing expertise in data solutions and technology adoption.</li></ul> 
 
 
Required Skills 
<ul><li>Bachelor's degree and 3 - 5 years of relevant experience in client service, consulting, data analytics, process improvement, or related fields.</li>
<li>Proven track record of successfully designing and implementing data solutions with measurable business impact.</li>
<li>Expertise in Microsoft tools, particularly PowerBI, SharePoint, PowerAutomate, and MS SQL; familiarity with project management platforms such as Asana is a plus.</li>
<li>Strong organizational skills and ability to manage multiple, complex projects simultaneously with minimal oversight.</li>
<li>Analytical rigor with the ability to frame hypotheses, assess options, and draw clear, actionable insights from data.</li>
<li>Background in developing automated workflows, data integrations, or strategic reporting initiatives.</li>
<li>Effective communication skills to clearly convey technical concepts to non-technical audiences and facilitate stakeholder buy-in.</li>
<li>Self-motivation and ability to thrive in an environment of ambiguity, balancing independent execution with collaborative engagement.</li>
<li>Sound judgment, adaptability, and a solutions-oriented mindset to navigate a fast-paced, evolving consulting environment.</li>
</ul>
Preferred Skills:
<ul>
<li>Professional certifications (or willingness to obtain).</li>
<li>Experience working within higher education or other mission-driven, complex organizational environments. Benefits/Other Information: Boston Universitys generous benefits package includes health, dental, life insurance, and paid time off! Full-time employees are also eligible for tuition remission for courses at Boston University. Note: the remission benefit extends to dependents as well. For more details on benefits, please refer to the Boston University benefits page at https://www.bu.edu/hr/employee-resources/benefits/. The department of Financial Affairs at Boston University values intellectual, cultural, and social diversity among its staff and students. We remain steadfast in our dedication to building a team that is inclusive and equitable and a place where all constituents can thrive.</li>
<li>For all positions, we are looking for individuals who enjoy working with colleagues in a collaborative environment and who are flexible and creative. We strongly encourage applications from women and under-represented groups who share our interest in serving a university community with diverse needs, backgrounds, ethnicities, and abilities.</li>
<li>Interested applicants are asked to upload a resume, list of references (if available), and submit a cover letter addressed to 'Hiring Manager Data Analytics Developer. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</li></ul> 


We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.</div>

DATA ANALYTICS DEVELOPER, Continuous Improvement & Data Analytics

Emerging Tech, LLC

<div><h2 class="jobSectionHeader">Dashboard Analytics Developer</h2>
Location: Remote 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About Emerging Tech</h3>
Emerging Tech is a mission-driven technology services firm and a SDVOSB, 8(a), and HUBZone small business delivering innovative healthcare IT and federal solutions. We support critical initiatives across the Department of Veterans Affairs and other federal agencies, helping drive transformation through data, technology, and human-centered design.<h3 class="jobSectionHeader">
Position Overview</h3>
Emerging Tech is seeking a Dashboard Analytics Developer to support data-driven initiatives within a federal healthcare environment. This role focuses on developing dashboards, managing data integrations, and delivering actionable insights to support leadership decision-making. The ideal candidate has experience working with complex data sources, building user-friendly visualizations, and supporting analytics in large-scale IT or healthcare programs.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Provide support for dashboard development and analytics needs, including deployment of requested metric capture lists</li><li>
Maintain data connections across internal and external data sources</li><li>
Develop and update forms and program workflows to support data collection and reporting</li><li>
Design wireframes and clickable prototypes for dashboards and user interfaces</li><li>
Visualize data from multiple sources in clear, user-friendly formats</li><li>
Create logical drill-down capabilities and intuitive user interfaces</li><li>
Analyze and organize data from various sources to ensure accuracy and usability</li><li>
Support project management activities, including tracking status, timelines, and deliverables</li><li>
Collaborate with senior leadership to define metrics, measures, and reporting needs</li></ul><h3 class="jobSectionHeader">
Minimum Qualifications</h3><ul><li>
4+ years of professional work experience</li><li>
Knowledge of appropriate data sources for monitoring, analysis, modeling, and reporting</li><li>
Experience with scientific research, technical writing, and editing for both technical and non-technical audiences</li><li>
Ability to proofread and produce deliverables aligned with government standards</li><li>
Experience working in a structured, team-oriented environment under supervision</li><li>
Bachelor&rsquo;s degree in Healthcare, Science, Computer Engineering, or related technical/clinical field<ul><li>
Additional 4 years of relevant experience may be substituted in lieu of a degree</li></ul></li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience supporting the Department of Veterans Affairs (VA)</li><li>
Experience implementing or supporting Electronic Health Record (EHR) systems</li></ul>
4jBUr3m5N6</div>

Dashboard Analytics Developer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Incorporated
<h2 class="jobSectionHeader">Job Area:
</h2>Information Technology Group, Information Technology Group &gt; IT Software Developer
General Summary:
The Staff Data Engineer / Full‑Stack Data Developer is a senior, hands‑on individual contributor responsible for designing, building, optimizing, and operating data pipelines, curated data products, and Databricks‑native data applications on a modern cloud Lakehouse platform. This role is critical to enabling enterprise analytics, BI, AI/ML, and data‑driven applications, with deep expertise in Databricks, Python, Spark, and Databricks application development. 
 
This position requires strong end‑to‑end ownership of data engineering and data app solutions, production‑grade engineering rigor, and the ability to collaborate across platform, analytics, and application teams.
This role requires full-time onsite work in San Diego, CA (5 days per week).
Minimum Qualifications:
<ul><li>5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
</li></ul>OR
 
7+ years of IT-related work experience without a Bachelor&rsquo;s degree.
 
 
<ul><li>3+ years of work experience with programming (e.g., Java, Python).
</li><li>3+ years of work experience with SQL or NoSQL Databases.
</li><li>3+ years of work experience with Data Structures and algorithms.
</li></ul>Key Responsibilities
Data Engineering &amp; Development
<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python to support enterprise analytics, AI, and application use cases.
</li><li>Build and manage curated data layers following Lakehouse Medallion architecture best practices (Bronze / Silver / Gold).
</li><li>Develop reusable, modular data transformation frameworks to accelerate delivery across domains.
</li></ul>Databricks Application Development
<ul><li>Design and develop Databricks‑native data applications, including notebook‑based apps, Databricks dashboards, and interactive data experiences for analytics and business users.
</li><li>Build data APIs, parameterized pipelines, and app‑integrated data services leveraging Databricks and Lakehouse capabilities.
</li><li>Partner with analytics, AI, and application teams to embed data and insights directly into workflows and applications.
</li><li>Ensure Databricks apps meet performance, security, governance, and usability standards.
</li></ul>Performance, Scalability &amp; Reliability
<ul><li>Optimize Apache Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability.
</li><li>Proactively address challenges related to data volume, schema evolution, and compute optimization.
</li><li>Implement robust data quality checks, validations, and anomaly detection within pipelines and apps.
</li></ul>Production Support &amp; Operations
<ul><li>Own and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root‑cause analysis.
</li><li>Ensure high availability, data correctness, and SLA adherence for business‑critical datasets and apps.
</li><li>Contribute to observability, alerting, and operational automation.
</li></ul>Full‑Stack Data Enablement
<ul><li>Collaborate with BI, analytics, AI/ML, platform, and application teams to deliver end‑to‑end data solutions.
</li><li>Enable data consumption across dashboards, reports, Databricks apps, AI models, APIs, and downstream applications.
</li><li>Translate business and analytical requirements into well‑designed data pipelines and data applications.
</li></ul>Engineering Excellence &amp; Technical Influence
<ul><li>Act as a technical leader and mentor, defining best practices for data engineering and Databricks app development.
</li><li>Participate in architecture reviews, design discussions, and technical roadmaps.
</li><li>Continuously evaluate and adopt modern Databricks features, GenAI capabilities, and automation patterns to improve developer productivity.
</li></ul>Required Skills &amp; Experience
<ul><li>5+ years of hands‑on data engineering experience, owning production‑grade pipelines and data solutions.
</li><li>Strong proficiency in Python and Apache Spark (PySpark).
</li><li>Proven hands‑on experience working with Databricks in production, including Databricks application development.
</li><li>Strong SQL and data transformation skills.
</li><li>Experience building and supporting Databricks notebooks, dashboards, and data‑driven applications.
</li><li>Experience operating and supporting data pipelines and data apps in production environments.
</li><li>Solid understanding of data quality, reliability, security, and governance.
</li></ul>Preferred / Nice‑to‑Have Qualifications
<ul><li>Experience with AWS cloud services (e.g., S3, IAM, EC2, Glue, or equivalent).
</li><li>Exposure to Unity Catalog, access controls, metadata management, and governed data sharing.
</li><li>Experience with streaming data pipelines (e.g., Structured Streaming, Kafka).
</li><li>Familiarity with CI/CD, Git‑based workflows, and Data/Analytics DevOps.
</li><li>Experience enabling BI, AI/ML, or application‑embedded analytics using Databricks.
</li></ul>What Defines Success at the Staff Level
<ul><li>Owns complex data pipelines and Databricks applications end‑to‑end with minimal oversight.
</li><li>Drives improvements in performance, reliability, cost efficiency, and usability across data and app layers.
</li><li>Influences architecture, standards, and best practices beyond immediate assignments.
</li><li>Serves as a trusted technical partner to analytics, AI, platform, and application teams.
</li></ul><div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. 
Pay range and Other Compensation &amp; Benefits :
$128,100.00 - $192,100.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)

Infoorigin Inc

<div><ul><li>Position Title: Oracle PL/SQL and Microsoft Azure Synapse Developer</li><li>
Location: Research Triangle Park, Durham NC (Hybrid Work)</li><li>
Interview: Either Webcam Interview or In Person</li><li>
Position Type: Contract</li></ul>
Seeking a highly skilled Oracle PL/SQL and Microsoft Azure Synapse developer to provide business and system analysis, modeling, design, developing and maintaining Medicaid reporting solutions and semantic models. This role will work closely with internal business team and Medicaid team to develop new reports and maintain the reporting code for some of the enhancements based on the backlog of change requests from the business and help fix some of the defects from the backlog as well.
Core Responsibilities<ul><li>
Design and manage data warehouses</li><li>
Write complex Oracle PL/SQL queries</li><li>
Build analytics using Azure Synapse (SQL + Spark)</li><li>
Develop Power BI dashboards</li><li>
Work with IBM Curam data (Medicaid system)</li><li>
Handle ETL processes (data pipelines)</li><li>
Fix bugs and enhance reports</li><li>
Mentor junior developers</li></ul>
Skills<ul><li>
Experience programming and design of large scale web based distributed systems</li><li>
Experience in using Oracle, Oracle Utilities, ETL tools such as Oracle Warehouse Builder (OWB) or Oracle Data Integrator (ODI),</li><li>
Experience with SQL scripting and Relational Database modeling</li><li>
Experience with Experience with structured system development methodologies</li><li>
Ability to develop relationships/partnerships with customer by responding to needs and exhibiting an sense of urgency; independently identify options.</li><li>
Ability to organize, prioritize, and follow complex and/or detailed technical procedures.</li></ul>
Highly Desired Skills<ul><li>
Prefer experience with Business Intelligence tools such as Business Objects or BIRT</li><li>
Prefer Data Warehouse experience</li><li>
Experience with the C&uacute;ram product.</li><li>
Strong SQL Skill</li></ul></div>

Data Engineer/BI Developer (Medicaid) - Durham NC (Hybrid Work)

Tiling mason

Job Description: We are looking for an IT Staff / Full Stack Developer &amp; Data Analyst to support our company&rsquo;s applications, data, and IT operations. The candidate will help develop internal tools using AppSheet, support system integrations, analyze data, and maintain the company&rsquo;s IT systems.Key Responsibilities:<ul><li>Develop and maintain business applications using AppSheet or other low-code platforms.</li><li>Create simple interfaces using HTML, CSS, and JavaScript.</li><li>Assist with system integrations such as ERP, WhatsApp API, and Google Workspace.</li><li>Prepare reports, dashboards, and basic data analysis.</li><li>Monitor and manage company data and system information.</li><li>Troubleshoot application, system, or network issues.</li><li>Provide general IT support including computers, printers, and software installation.</li><li>Maintain data backups and basic IT security.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Data Analytics, or related field.</li><li>Knowledge of AppSheet or other low-code platforms is preferred.</li><li>Basic knowledge of HTML, CSS, JavaScript, or similar programming languages.</li><li>Familiarity with APIs, ERP systems, or databases is an advantage.</li><li>Ability to perform general IT support and troubleshooting.</li><li>Willing to learn and handle multiple IT-related tasks.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Okay to start immediately</li><li>Okay to relocate </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>UAE IT: 1 year (Required)</li></ul>

IT Staff – Full Stack / Low-Code Developer (Data Analyst)

Envision Employment Solutions

<div>
 
 
 Description
 
 
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Data BI Developer
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Leading, designing, analyzing and developing the required reports and dashboards for Internal Bank customers (Finance, Risk, Marketing, etc.)
 
 
 &bull; Effectively use statistical tools, data modelling, visualizations and narrative to identify and present / story-tell&rsquo; meaningful trends to different audiences. Account for variances, highlight exceptions, risks and opportunities, and make recommendations to inform strategic and operational decision making.
 
 
 &bull; Leading, designing, analyzing and developing the documentation to ensure adherence to corporate reporting standards and processes. Ensure outputs are presented professionally in a timely, accurate and efficient manner.
 
 
 &bull; Ensuring data is handled ethically and all processes are undertaken in compliance with company policy, internal controls, data protection legislation and relevant national / industry standards.
 
 
 &bull; Leading, designing, analyzing and developing the BI / analytical capability within the Strategy &amp; Governance team and wider business through training and knowledge-transfer. Support the development of insight-driven, data literate corporate culture.
 
 
 &bull; Leading, design, analyze and develop of all the required reports for the different business departments and make them available for the business to be able to run them as needed
 
 
 &bull; Build and maintain strong collaborative relationships with senior internal stakeholders, subject matter experts and external clients.
 
 
 
 
 
 
 Requirements
 
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, Information System or a related field.
 
 
 &bull; Proven experience in a similar Business Intelligence or Data Analytics role is required.
 
 
 &bull; Strong hands-on experience with
 
 PL/SQL, Tableau, and Teradata
 
 .
 
 
 &bull; Solid understanding of
 
 Data Warehouse (DWH) concepts
 
 .
 
 
 &bull; Advanced proficiency in
 
 SQL
 
 is mandatory.
 
 
 &bull; Strong
 
 business analysis skills
 
 , with the ability to translate requirements into analytical solutions.
 
 
 &bull; Excellent numerical and analytical skills, utilizing statistical tools and technologies for data analysis.
 
 
 &bull; Expertise in
 
 data visualization and storytelling
 
 to communicate insights effectively.
 
 
 &bull; Ability to identify trends, analyze variances, and highlight exceptions, risks, and opportunities.
 
 
 &bull; Ability to produce clear, concise, and accurate reports with high attention to detail and professional standards.
 
 
 
 
</div>

Data BI Developer

b_labs

<div>
 Imagine working with a world-class engineering team, building high-impact digital products that'll revolutionize the consumer finance industry in Egypt...
 
 
 b_labs is the innovation arm of B.TECH, a cornerstone of the Egyptian retail industry. We are looking for a Senior Frontend Engineer to be part of the foundation team at our Fintech squad who will play a pivotal role in building Egypt's leading consumer finance product.
 
 
 In the capacity of a Data &amp; BI Developer, your responsibilities will include:
 
 
 <ul>
 <li>
 Leading the creation and implementation of sophisticated dashboards and visualizations
 </li>
 <li>
 Performing in-depth analyses to uncover business opportunities and assess potential risks
 </li>
 <li>
 Working collaboratively with cross-functional teams to establish key performance indicators (KPIs) and data strategies
 </li>
 <li>
 Designing and maintaining comprehensive data models and ETL processes
 </li>
 <li>
 Providing mentorship to junior analysts and encouraging the adoption of best practices in analytics
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics)
 </li>
 <li>
 2+ years of experience in data analytics or BI
 </li>
 <li>
 Advanced SQL skills and experience with BI tools (Power BI, Tableau, Looker)
 </li>
 <li>
 Experience with data modelling and ETL development
 </li>
 <li>
 Experience with Python or R for statistical analysis
 </li>
 <li>
 Familiarity with machine learning concepts
 </li>
 <li>
 Other BI tools (Metabase)
 </li>
 <li>
 Exposure to cloud platforms (Azure, AWS, GCP)
 </li>
 <li>
 Experience with metadata management tools
 </li>
 <li>
 Strong business acumen and stakeholder engagement
 </li>
 <li>
 Advanced analytical and statistical thinking
 </li>
 <li>
 Ability to manage multiple projects and priorities
 </li>
 <li>
 Excellent storytelling and presentation skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
 
 
 Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
 
 
 Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
 
 
 Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
 
 
 Equipment: From "Day 1" you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.
</div>

Data & BI Developer

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