senior data mining analyst

Maaden

<div>
 <p>
  <strong>
   Maaden Brief:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  MAADEN, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia&rsquo;s economy by building a world-class, unique, and fully integrated mining value chain."
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are pleased to share an exciting opportunity for the position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Profile:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Title:
  <strong>
   Sr. Engineer, Data Analyst
  </strong>
 </p>
 <p>
  Business Unit/Function:
  <strong>
   Aluminium BU&rsquo;s / TCI
  </strong>
 </p>
 <p>
  Department:
  <strong>
   Technology and Sustainability
  </strong>
 </p>
 <p>
  Job Location:
  <strong>
   Ras Al Khair
  </strong>
 </p>
 <p>
  Working hours:
  <strong>
   8 hours
  </strong>
 </p>
 <p>
  Job post duration:
  <strong>
   starting 22 November 2025 - end date: 10 Dec 6 2025
  </strong>
 </p>
 <p>
  Type of work:
  <strong>
   Full-time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  The Sr. Engineer, Data Analyst plays a critical role in shaping the organization's data architecture strategy and ensuring that data assets are effectively managed, protected, and leveraged to drive business success. This position is responsible for providing expert guidance and leadership on all aspects of data architecture within the organization, including developing data models, database designs, data integration strategies, and data governance processes. The Sr. Engineer works closely with business stakeholders, data analysts, data engineers, and other IT professionals to ensure that data architecture meets the needs of the organization and supports its strategic goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities
  </strong>
 </p>
 <ul>
  <li>
   Designing and developing data models and databases that support business requirements and data analytics needs
  </li>
  <li>
   Collaborating with business stakeholders to understand their data needs and develop data architecture solutions that align with business goals
  </li>
  <li>
   Defining and implementing data governance processes to ensure data integrity, security, and compliance with regulations
  </li>
  <li>
   Evaluating and recommending new tools and technologies to improve data architecture and data management practices
  </li>
  <li>
   Leading the design and implementation of data integration solutions to enable seamless data flow across different systems and platforms
  </li>
  <li>
   Mentoring and coaching data architects and other team members on best practices in data architecture and data modeling
  </li>
  <li>
   Participating in cross-functional teams to design and implement data solutions that support business initiatives and improve operational efficiency
  </li>
  <li>
   Monitoring and optimizing database performance, scalability, and reliability to ensure high availability and data quality
  </li>
  <li>
   Collaborating with other IT teams to define data standards, data quality metrics, and data architecture principles that guide data management practices across the organization
  </li>
  <li>
   Staying current on industry trends and best practices in data architecture, data management, and data analytics to drive continuous improvement in data architecture practices
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Minimum Qualifications, Experience and Competencies
   </u>
  </strong>
 </p>
 <p>
  <strong>
   <u>
    Minimum Qualifications:
   </u>
  </strong>
 </p>
 <p>
  Bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or a related discipline.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Minimum Experience:
   </u>
  </strong>
 </p>
 <p>
  -Over 10 years of experience in data architecture, with a focus on mining and metals-related fields.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ma&rsquo;aden High-Performance Competencies:
  </strong>
 </p>
 <ul>
  <li>
   Performance management
  </li>
  <li>
   Team development and capability building
  </li>
  <li>
   Leadership
  </li>
  <li>
   Teamwork
  </li>
  <li>
   Integrity
  </li>
  <li>
   Care
  </li>
  <li>
   Ownership
  </li>
  <li>
   Accountability
  </li>
  <li>
   Communication
  </li>
  <li>
   Continuous improvement
  </li>
  <li>
   Achievement Drive
  </li>
  <li>
   Decisiveness and judgement
  </li>
  <li>
   Impact and influence
  </li>
  <li>
   Commercial Acumen
  </li>
  <li>
   Strategic Visioning
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of data architecture principles and best practices
  </li>
  <li>
   Proficiency in data modelling and database design
  </li>
  <li>
   Experience in developing and maintaining data architecture strategies and roadmaps
  </li>
  <li>
   Ability to design and implement data governance processes and policies
  </li>
  <li>
   Familiarity with data integration and ETL processes
  </li>
  <li>
   Knowledge of data quality and data security standards
  </li>
  <li>
   Experience in data warehousing and data lakes
  </li>
  <li>
   Proficiency in data visualization tools and techniques
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We offer a comprehensive benefits package, including medical, relocation, housing, transportation, performance/loyalty bonuses, and professional development.
 </p>
</div>


Sr. Engineer, Data Analyst

Coptic Orphans

<div>
 <p>
  <strong>
   Sr. Data Analyst
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Purpose of the Job
  </strong>
 </p>
 <p>
  The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Functions and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
  </li>
  <li>
   Lead the design, implementation, and deployment of predictive and prescriptive models.
  </li>
  <li>
   Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
  </li>
  <li>
   Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
  </li>
  <li>
   Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
  </li>
  <li>
   Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
  </li>
  <li>
   Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
  </li>
  <li>
   Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
  </li>
  <li>
   Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
  </li>
  <li>
   Provide guidance to junior analysts and contribute to building data literacy across teams.
  </li>
  <li>
   Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Education, Experience, Knowledge and Skills
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
  </li>
  <li>
   3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
  </li>
  <li>
   Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
  </li>
  <li>
   Demonstrated knowledge of ETL frameworks and data warehousing principles.
  </li>
  <li>
   Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
  </li>
  <li>
   Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
  </li>
  <li>
   Proven ability to design, implement, and deploy predictive and prescriptive models.
  </li>
  <li>
   Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
  </li>
  <li>
   Strong experience with data visualization tools (Power BI, Tableau, or similar).
  </li>
  <li>
   Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
  </li>
  <li>
   Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
  </li>
  <li>
   Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
  </li>
  <li>
   Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
  </li>
  <li>
   Ability to translate complex data into clear, actionable insights for diverse audiences.
  </li>
  <li>
   Collaborative mindset and willingness to share knowledge with team members.
  </li>
  <li>
   Proficient in both written and spoken English.
  </li>
  <li>
   Exceptional analytical, problem-solving, and critical-thinking skills.
  </li>
  <li>
   Ability to manage multiple priorities and deliver high-quality work independently.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Travel and Working requirements
  </strong>
 </p>
 <ul>
  <li>
   Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
  </li>
  <li>
   Occasional national or international travel may be required.
  </li>
  <li>
   Working out of the official hours and on weekends may be required.
  </li>
 </ul>
 <p>
 </p>
</div>


Sr. Data Analyst

<div></div><div><div><div><div><ul><div>2 - 3 Years</div>
<div></div><div>1 Opening</div>
 <div>Hyderabad, Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>Role Proficiency:</p>
<p>
Interprets data and analyses results using statistical techniques under supervision</p>
<p>
Outcomes:</p>
<div>
<ul><li> Complies and assist in mining and acquiring data from primary and secondary sources; reorganizing the data in a format that can be easily read by either a machine or a person</li></ul>
<ul><li> Assist in identifying analyzing and interpreting trends or patterns in data sets' generating insights and helping clients make better decisions.</li></ul>
<ul><li> Conducts research on specific data sets to enable the senior analysts in their work</li></ul>
<ul><li> Assist in managing master data including creation updates and deletions.</li></ul>
<ul><li> Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data.</li></ul>
<ul><li> Provide support with technical writing and editing as required</li></ul>
<ul><li> Develop analytics to identify trend lines across several data sources within the organization</li></ul>
<ul><li> Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes</li></ul>
<ul><li>Set FAST goals</li></ul>
</div>
<p></p><p>Measures of Outcomes:</p>
<div>
<ul><li> Schedule adherence on tasks</li></ul>
<ul><li> Quality &ndash; errors in data presentation and interpretation</li></ul>
<ul><li> Number of business processes changes highlighted due to vital analysis.</li></ul>
<ul><li> Number of stakeholder appreciations/escalations</li></ul>
<ul><li> Number of customer appreciations</li></ul>
<ul><li> No: of mandatory trainings completed</li></ul>
</div>
<p></p><p>Outputs Expected:</p>
<p>
Data Mining:</p>
<div>
<ul><li>Acquiring data from various sources</li></ul></div><br>
<p><br>
Reorganizing/Filtering data:</p>
<div>
<ul><li>Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.</li></ul></div><br>
<p><br>
Analysis:</p>
<div>
<ul><li>Use statistical methods to analyse data and generate useful results.</li></ul></div><br>
<p><br>
Create Data Models:</p>
<div>
<ul><li>Use data to create models that depicts trends in the customer base and the consumer population as a whole</li></ul></div><br>
<p><br>
Create Reports:</p>
<div>
<ul><li>Create reports depicting the trends and behaviours from the analysed data</li></ul></div><br>
<p><br>
Document:</p>
<div>
<ul><li>Create documentation for own work as well as perform peer review of documentation of others' work</li></ul></div><br>
<p><br>
Manage knowledge:</p>
<div>
<ul><li>Consume and contribute to project related documents<br>
share point<br>
libraries and client universities</li></ul></div><br>
<p><br>
Status Reporting:</p>
<div>
<ul><li>Report status of tasks assigned</li></ul>
<ul><li>Comply with project related reporting standards/process</li></ul></div><br>
<p><br>
Code:</p>
<div>
<ul><li>Create efficient and reusable code. Follows coding best practices.</li></ul></div><br>
<p><br>
Code Versioning:</p>
<div>
<ul><li>Organize and manage the changes and revisions to code. Use a version control tool like git<br>
bitbucket<br>
etc.</li></ul></div><br>
<p><br>
Quality:</p>
<div>
<ul><li>Provide quality assurance of imported data<br>
working with quality assurance analyst if necessary.</li></ul></div><br>
<p><br>
Performance Management:</p>
<div>
<ul><li>Set FAST Goals and seek feedback from supervisor</li></ul>
</div>
<p></p><p>Skill Examples:</p>
<div>
<ul><li> Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.</li></ul>
<ul><li> Communication Skills: Ability to present findings or translate the data into understandable documents</li></ul>
<ul><li> Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.</li></ul>
<ul><li> Attention to Detail: Making sure to be vigilant in the analysis; coming up with accurate conclusions.</li></ul>
<ul><li> Quantitative skills - knowledge of statistical methods and data analysis software</li></ul>
<ul><li> Research skills: It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports.</li></ul>
<ul><li> Mathematical Skills to estimate numerical data.</li></ul>
<ul><li> Work in a team environment</li></ul>
<ul><li> Proactively ask for and offer help</li></ul>
</div>
<p></p><p>Knowledge Examples:</p>
<p>
Knowledge Examples</p>
<div>
<ul><li> Proficient in mathematics and calculations.</li></ul>
<ul><li> Spreadsheet tools such as Microsoft Excel or Google Sheets</li></ul>
<ul><li> knowledge of Tableau or PowerBI</li></ul>
<ul><li> SQL</li></ul>
<ul><li> Python</li></ul>
<ul><li> DBMS</li></ul>
<ul><li> Operating Systems and software platforms</li></ul>
<ul><li> Knowledge about customer domain and also sub domain where problem is solved</li></ul>
<ul><li>Code version control e.g. git bitbucket etc.</li></ul>
</div>
<p></p><p>Additional Comments:</p>
<p></p>
<p>Create, design, and maintain interactive dashboards and reports based on business requirements. Collaborate with business stakeholders to understand reporting requirements and translate them into BI solutions. Advanced Excel skills along with hands on experience in Google Sheets Automation, through Google Appscript and Google Appsheet Maintain Scheduled and Ad hoc reports and ensure timely delivery of reports along with documentation for reports and dashboards. Must have Python Knowledge to understand existing reports and automate future reports Good to have Alteryx knowledge</p></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Microstrategy,Python,Advanced Excel</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Associate II - Data Science - Microstrategy

Boston Consulting Group

<div><p>Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p><br>
What You'll Do</p><p>
As a <b>Global Data Analyst &ndash; Senior Specialist</b>, you will play a key role in designing, developing, and delivering data-driven solutions that enable analytics, reporting, and business intelligence across Knowledge portfolio. You will collaborate with global stakeholders to translate business needs into scalable data and visualization solutions.</p><p></p><p><br>
In this role, you will:</p><ul><li><b>
Build, maintain, and optimize ETL pipelines</b> and data workflows using Python and AWS services (Glue, Lambda, S3)</li><li><b>
Leverage Python and SQL</b> to integrate, process, and analyze structured and unstructured data from multiple internal and external sources.</li><li><b>
Develop and manage data models</b> in Snowflake, ensuring efficient data warehousing, schema design, and query performance optimization.</li><li><b>
Design and deliver interactive visualizations and dashboards</b> using Power BI and Tableau, transforming complex datasets into clear, actionable insights.</li><li><p><b>
Perform end-to-end data analysis</b> &mdash; from data extraction, cleansing, and transformation to insight generation and storytelling.</p></li><li><p><b>
Collaborate with cross-functional teams</b> to define key business metrics, track performance, and uncover analytical opportunities.</p></li><li><p><b>
Apply analytical and statistical techniques</b> to uncover trends, identify drivers, and support data-informed decision-making.</p></li><li><b>
Contribute to innovation initiatives</b> by exploring emerging tools, automation opportunities, and advanced analytical techniques such as predictive modeling and NLP.</li></ul><p><br>
What You'll Bring</p><ul><li><b>
4&ndash;8 years of relevant experience</b> in data engineering, analytics, or related data-focused roles.</li><li><p><b>
Strong proficiency in Python,</b> with extensive experience in data ingestion, transformation, and orchestration.</p></li><li><p><b>
Hands-on experience with AWS services</b> (Glue, Lambda, S3) for developing and managing ETL workflows and data pipelines.</p></li><li><p><b>
Proficiency in Snowflake, SQL, and relational databases,</b> ensuring efficient data modeling, warehousing, and querying.</p></li><li><p><b>
Experience integrating APIs</b> using Python for extracting data from diverse structured and unstructured sources.</p></li><li><p><b>
Advanced dashboarding skills</b> in Power BI and/or Tableau &mdash; including DAX, Power Query, data modeling, LOD expressions, data blending, and API integration.</p></li><li><p><b>
Good-to-have experience</b> developing predictive models using machine learning methods (time-series forecasting, classification, decision trees, random forests).</p></li><li><p><b>
Good-to-have familiarity</b> with Natural Language Processing (NLP) techniques such as sentiment analysis, text mining, and libraries like spaCy or AWS Comprehend.</p></li><li><p><b>
Good-to-have knowledge</b> of Python visualization libraries (Plotly, Matplotlib, Seaborn) for exploratory analysis and storytelling.</p></li><li><p><b>
Excellent analytical, problem-solving, and communication skills</b>, with the ability to collaborate effectively across teams and functions.</p></li></ul><p><br>
Who You'll Work With</p><p>
You&rsquo;ll be part of Knowledge Data &amp; Analytics team within the Knowledge portfolio, collaborating with global stakeholders across functions and regions. The role will be based in Gurugram as part of the larger Data &amp; Analytics group, which supports multiple functions across BCG by driving data strategy, analytics innovation, and AI-enabled capabilities.</p><p>
In this role, you&rsquo;ll work closely with internal stakeholders to design and deliver data-driven, visualization, and innovation solutions that enhance decision-making, optimize processes, and create measurable business impact across the firm.</p><p><br>
Additional info</p><p><b>
YOU'RE GOOD AT</b></p><ul><li><p><b>
Python-based data engineering</b> &mdash; developing ETL pipelines and automating workflows, with strong experience using AWS Glue.</p></li><li><p><b>
End-to-end data analytics</b> &mdash; mining, cleansing, transforming, and visualizing data to uncover insights and trends.</p></li><li><p><b>
Data warehousing and optimization</b> &mdash; designing and tuning Snowflake models for scalability and performance.</p></li><li><p><b>
Visualization and storytelling</b> &mdash; creating compelling Power BI or Tableau dashboards that communicate insights intuitively.</p></li><li><p><b>
Defining and tracking key metrics</b> &mdash; translating complex analytical results into actionable insights for business stakeholders.</p></li><li><p><b>
Problem-solving in ambiguity</b> &mdash; thriving in dynamic environments with evolving data challenges and priorities.</p></li><li><p><b>
Communication and collaboration</b> &mdash; simplifying complex data findings for technical and non-technical audiences alike.</p></li></ul><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
<br>
BCG is an E - Verify Employer. Click here for more information on E-Verify.</p></div>

Global Data Analyst Senior Specialist

Mercy

<div><div><ul><li>Chesterfield, Missouri</li><li>
Support Services</li><li>
Information Technology</li><li>
Regular</li><li>
Full-time</li><li>
Remote</li><li>
JR226350</li></ul><div><div><div><div><div>
</div></div></div></div></div></div><div></div><div><div><h1 class="jobSectionHeader"><b>
Find Your Calling At Mercy!</b></h1><p></p>
The Senior Data Analyst plays a pivotal role in driving data-informed decision-making across the Ministry by partnering with key stakeholders to address complex business challenges. Leveraging advanced analytics tools, statistical methods, and deep business acumen, this role transforms data into actionable insights that inform strategic initiatives and operational improvements. The Senior Data Analyst is responsible for gathering and translating business requirements into scalable data solutions, uncovering trends and opportunities through rigorous analysis, and delivering impactful visualizations and reports. As a champion of data governance, this individual ensures the accuracy, integrity, and ethical use of data, serving as a trusted steward in promoting best practices and maintaining compliance with enterprise data policies.<p></p><h1 class="jobSectionHeader"><b>
Position Details:</b></h1><p></p><p><b>
Senior Data Anaylst</b></p><p></p><p><b>
Mercy Enterprise Analytics</b></p><p></p><p><b>
EPIC/Clarify Certifications HIGHLY preferred.</b></p><p></p><ul><li><b>Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.</b></li></ul><p></p><p>
The Senior Data Analyst plays a pivotal role in driving data-informed decision-making across the Ministry by partnering with key stakeholders to address complex business challenges. Leveraging advanced analytics tools, statistical methods, and deep business acumen, this role transforms data into actionable insights that inform strategic initiatives and operational improvements. The Senior Data Analyst is responsible for gathering and translating business requirements into scalable data solutions, uncovering trends and opportunities through rigorous analysis, and delivering impactful visualizations and reports. As a champion of data governance, this individual ensures the accuracy, integrity, and ethical use of data, serving as a trusted steward in promoting best practices and maintaining compliance with enterprise data policies.</p><p></p><p><b>
Qualification(s):</b></p><p></p><ul><li><p>
Education: Degree(s) in data analytics, statistics, mathematics, computer science, technology or related field experience.</p></li><li><p>
Experience: Two (2) years of relevant technical or business work experience or knowledge in data analysis, business intelligence, or a related technical field, with a proven ability to deliver insights that influence strategic decision-making.</p></li></ul><p></p><p><b>
Mercy Key Benefits:</b></p><ul><li>
Tuition Reimbursement up to $2,000 for continuing education</li><li>
Health/Dental/Vision available after day one</li><li>
Annual contribution of $100 per month to eligible co-workers enrolled in the Dependent Care FSA</li><li>
Paid parental leave for new parents</li><li>
401k with employer match</li><li>
Paid PTO for volunteering</li><li>
Competitive salary</li><li>
Future career growth!</li></ul><p></p><p><b>
Find us at:</b></p><p>
Facebook | LinkedIn | Instagram | mercy.net | Mercy Careers</p><p></p><p>
EEO/AA/Minorities/Females/Disabled/Veterans</p><p></p><h1 class="jobSectionHeader"><b>
Why Mercy?</b></h1><p></p><p>
From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.</p><p></p><p>
Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.</p></div></div></div>

Senior Data Analyst - Mercy Enterprise Analytics

Kashavi

<p>We are looking for an enthusiastic Data Mining Executive (Fresher) to join our team. The ideal candidate should have strong analytical thinking, attention to detail and good communication skills. You will be responsible for collecting, extracting, and organizing data from various online sources to support our business development and marketing teams.</p><p><b>Key Responsibilities:</b></p><p>&#9679; Conduct online research to identify relevant data as per project requirements</p><p>&#9679; Extract, collect, and organize data from multiple platforms &#9679; Maintain accuracy and quality of the data collected</p><p>&#9679; Update and manage datasets in spreadsheets/CRM tools</p><p>&#9679; Support the team with daily data mining tasks</p><p>&#9679; Ensure timely delivery of assigned tasks Requirements:</p><p>&#9679; Any 2025 graduate or Post Graduate can apply</p><p>&#9679; Immediate joiners preferred</p><p>&#9679; Good communication skills</p><p>&#9679; Basic understanding of MS Excel / Google Sheets &amp; LinkedIn</p><p>&#9679; Strong attention to detail and ability to work independently</p><p>&#9679; Eagerness to learn and grow</p><p><b>Shift: General Shift for initial 6 months, Might be Rotational later</b></p><p>Job Type: Full-time</p><p>Pay: &#8377;10,000.00 - &#8377;15,000.00 per month</p><p>Work Location: In person</p>

Data Mining Fresher

Chasra Solutions

<p><b>Position ID: 34524 Data Science and Machine Learning Senior Associate- Chennai (Onsite)</b></p><p>Position Description:<br/>Data Scientist, Product &amp; Program Definition Transformation We are seeking highly qualified and innovative Data Scientists to join our ambitious Product &amp; Program Definition Transformation team. In this role, you will be central to developing the intelligent systems that power our move to a future-state PLM environment. You will apply your expertise to solve complex, real-world problems at the heart of our engineering and business processes, directly contributing to the development of our Intelligent Transition Model and a suite of AI-Powered Accelerators. Your primary responsibilities will include: Designing and building scalable AI/ML models to automate the decomposition and transformation of legacy artifacts (e.g., Program Direction Letters, Order Guides, BOMs) into the future-state data model. Developing analytics prototypes and accelerators that work on massive, diverse datasets to provide actionable insights for all project workstreams (e.g., VSM generation, relationship analysis, complexity metrics). Partnering with business and architecture teams to translate complex, often ambiguous, business logic into robust, automated solutions.</p><p>Required Skills and Experience:</p><p>1. AI &amp; Machine Learning Expertise: Generative AI &amp; LLMs: Demonstrated, hands-on experience in applying Generative AI and Large Language Models to solve complex business problems. This includes expertise in advanced prompt engineering, model fine-tuning, and leveraging LLM APIs to automate the decomposition of complex business artifacts and unstructured text. Natural Language Processing (NLP) &amp; Text Mining: Proven ability to apply NLP and text mining techniques to extract structured information, rules, and relationships from unstructured or semi-structured documents (e.g., requirement documents, &quot;author notes,&quot; technical specifications). Classical Machine Learning: Strong foundation in applying traditional ML algorithms such as clustering, classification, decision trees, random forests, and support vector machines.</p><p>2. Data &amp; Programming Skills: Data Processing and Wrangling: Extensive hands-on experience processing and wrangling both structured (e.g., BOMs, tabular data) and unstructured data from various formats, sizes, and storage mechanisms. Programming Languages: Strong proficiency in Python (including libraries like Pandas, NumPy) and flexibility to use other requisite languages and analytical tools as needed for the problem at hand. Big Data &amp; Cloud Technologies (GCP): Experience working with large-scale datasets and cloud-based AI/ML platforms is essential. Proficiency with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and Cloud Storage is highly preferred.</p><p>3. Mindset &amp; Problem-Solving Approach: First Principles &amp; Systems Thinking: A proven ability to deconstruct complex legacy processes using a first-principles approach, focusing on understanding the root cause of inefficiencies rather than just treating symptoms. Inquisitive and Tenacious Mindset: Excellent problem-solving skills, with a proven ability to challenge existing practices and ask &quot;why&quot; to uncover the logic behind established processes. Collaborative &amp; Outcome-Oriented: A strong team player who can work effectively with cross-functional teams and is driven to build practical, scalable solutions that deliver tangible business value.</p><p>Skills Required:<br/>LLM, GenAI, Machine Learning</p><p>Skills Preferred:<br/>Python, Big Query, Google Cloud Platform</p><p>Experience Required:<br/>3+ years of hands-on experience in applying advanced machine learning and AI techniques, with demonstrated proficiency in the following areas: 1. Generative AI (GenAI) and Large Language Models (LLMs): Proven expertise in leveraging GenAI, with hands-on experience in prompt engineering, model fine-tuning, and using LLM APIs for complex data processing, text mining, and automation. 2. Deep Learning: Proficiency in deep learning principles, including the design and implementation of neural networks, reinforcement learning, and an understanding of transformer architectures. 3. Classical Machine Learning: Strong foundation in traditional ML algorithms such as clustering, classification, decision trees, random forests, and support vector machines for predictive modeling and data analysis.<br/>Experience Preferred:<br/>3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem<br/>Education Required:<br/>Bachelor's Degree</p><p>For Details Email: jeesi.chasrasol@gmail.com</p><p>Phone: 9182396758</p><p>Job Type: Full-time</p><p>Pay: &#8377;500,000.00 - &#8377;25,000,000.00 per year</p><p>Work Location: In person</p>

Data Science and Machine Learning Senior Associate

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