data analytics specialist

<div>
 
 📣We are looking for a
 
 Data Analytics Specialist
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define the roadmap for analytics initiatives, including user behavior analysis, segmentation, cohort analysis, churn prediction, and performance measurement.
 </li>
 <li>
 Collaborate with Product Managers, Marketing, Operations, and UX teams to translate insights into actionable recommendations.
 </li>
 <li>
 Develop dashboards, reporting frameworks, and key performance metrics to monitor product and business health.
 </li>
 <li>
 Oversee A/B testing design, implementation, and impact measurement, applying causal inference methods where appropriate.
 </li>
 <li>
 Partner with data engineering to maintain reliable, scalable, and high-quality data pipelines.
 </li>
 <li>
 Stay informed on industry developments in analytics, experimentation, and user behavior modeling.
 </li>
 <li>
 Being able to use the Google Analytics implentation-analysis tool, Big query &amp; looker connection effectively is important for this position.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 3+ years of experience in data analytics, business intelligence, or related roles.
 </li>
 <li>
 Proficient in SQL, Python/R, Excel, and BI tools (Looker, Tableau, Power BI, QlikSense).
 </li>
 <li>
 Strong track record in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Skilled in advanced analytics techniques, including segmentation, predictive analytics, and experimentation.
 </li>
 <li>
 Strategic thinker who can translate business problems into actionable analytics solutions.
 </li>
 <li>
 Excellent communicator, able to present complex findings in actionable ways.
 </li>
 <li>
 Passionate about mentoring a high-performing team and fostering a data-driven culture.
 </li>
 <li>
 Experience in personalization, recommendation systems, or marketing attribution analytics.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
 
 
</div>

Data Analytics Specialist

TK Elevator

<div>Who we are
<h2 class="jobSectionHeader">What we expect</h2>

The first 3 letters in workplace safety are Y-O-U!
TK Elevator is currently seeking an experienced Procurement Data &amp; Analytics Specialist located in Atlanta, GA.
Responsible for supporting the PSM team with reporting, data insights, and advanced analytics that enable strategic decision-making and opportunity identification. This individual will work closely with all members of PSM team to collect requirements, understand business needs, and design meaningful reports and analytical tools.
In addition to data strategy and stakeholder engagement, this role will partner with IT to build and maintain the necessary data architecture, ensuring data availability, governance, and quality. A strong focus will be placed on driving automation, standardization, and building the foundation for AI adoption within PSM.
This individual will also provide leadership in optimizing procurement systems and operational processes, ensuring alignment with TKE's overall P2P (Procure-to-Pay) systems strategy.
ESSENTIAL JOB FUCTIONS:
<ul><li>Lead data &amp; analytics efforts across PSM by designing and implementing dashboards, KPIs, and analytics that provide actionable insights for procurement strategies and operations.</li><li>
Collaborate with PSM team members to gather reporting requirements and design tailored analytical solutions.</li><li>
Work closely with IT to build, maintain, and enhance the data infrastructure feeding PSM systems and tools.</li><li>
Design and implement a data governance model to ensure data integrity, quality, and availability.</li><li>
Drive process improvement through automation, standardization, and system optimization.</li><li>
Serve as the data steward for procurement systems including AI-based spend analytics tools and platforms (e.g., Creactives).</li><li>
Troubleshoot data issues, manage data quality problems, and provide analytical support to end-users.</li><li>
Lead the design of future AI adoption in PSM, working toward intelligent automation and predictive insights.</li><li>
Document and optimize system processes (SOPs) and ensure cross-functional alignment.</li><li>
Communicate effectively across all levels of the organization to gain buy-in, present findings, and support change management initiatives.</li><li>
Train and mentor team members on data tools and analytics.</li></ul>
<h2 class="jobSectionHeader">Who we are looking for</h2>

EDUCATION &amp; EXPERIENCE:<ul><li>
Bachelor's degree required in Engineering, Supply Chain Management, Data Science, Business Administration, or related field.</li><li>
Expert-level knowledge of Power BI and/or other BI tools.</li><li>
Certifications in Supply Chain, Purchasing, Data Analytics, or Project Management are a plus.</li><li>
Advanced understanding of P2P processes and digital procurement platforms.</li><li>
Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).</li><li>
3-5 years of experience working in data analytics roles, with a strong focus on operational procurement systems and data solutions.</li><li>
Extensive hands-on experience with Power BI, Tableau, Qlik, or equivalent analytics platform.</li><li>
Experience implementing data strategies, reporting tools, and AI-based analytics in procurement or supply chain.</li></ul>
<h2 class="jobSectionHeader">What we offer</h2>

Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered<ul><li>
Medical, dental, and vision coverage</li><li>
Flexible spending accounts (FSA)</li><li>
Health savings account (HSA)</li><li>
Supplemental medical plans</li><li>
Company-paid short- and long-term disability insurance</li><li>
Company-paid basic life insurance and AD&amp;D</li><li>
Optional life and AD&amp;D coverage</li><li>
Optional spouse and dependent life insurance</li><li>
Identity theft monitoring</li><li>
Pet insurance</li><li>
Company-paid Employee Assistance Program (EAP)</li><li>
Tuition reimbursement</li><li>
401(k) Retirement Savings Plan with company match: Employees can contribute a portion of their pay on a pre-tax or Roth basis. The company provides a dollar-for-dollar match on the first 5% contributed.</li></ul>
Additional benefits include:<ul><li>
15 days of vacation per year</li><li>
11 paid holidays each calendar year (10 fixed, 1 floating)</li><li>
Paid sick leave, per company policy</li><li>
Up to six weeks of paid parental leave (available after successful completion of 90 days of full-time employment)</li></ul>
Eligibility requirements for these benefits will be controlled by applicable plan documents. This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies.
<h2 class="jobSectionHeader">
Contact</h2>

To apply to a position, please click on the Apply Now button.
For any additional questions or job specific requests, please use the contact
 
below and include the Job Requisition Number as a reference.
Elevatorjobs.AMS@tkelevator.com
Permanent Engineering &amp; urban mobility Procurement and Supply Management Experienced professionals</div>

Procurement Data & Analytics Specialist

People Tech Group Inc

<div>
 
 
 Location:
 
 Hyderabad
 
 
 
 Employment Type:
 
 Initially it will be Contract
 
 
 
 
 
 
 About People Tech Group
 
 
 
 People Tech Group is a technology-first digital transformation company specializing in AI Engineering, Data Platforms, Cloud Modernization, Enterprise Applications, and Digital Product Development. We partner with global enterprises to build scalable, intelligent, and automated ecosystems powered by modern engineering and next-generation AI solutions. Our teams work across AI/ML, GenAI, Data Engineering, ERP, and Intelligent Automation to help organizations achieve faster innovation, operational efficiency, and enterprise-wide digital acceleration.
 
 
 
 
 
 
 About the Role
 
 
 
 People Tech Group is looking for a
 
 Data Center Analytics Specialist
 
 who can turn complex data center metrics into actionable insights. You&rsquo;ll be responsible for analyzing capacity, performance, energy, and reliability metrics across global data centers to support operational excellence, efficiency, and future capacity planning.
 
 
 If you&rsquo;re passionate about data, infrastructure, and optimizing mission-critical systems &mdash; this role is for you.
 
 
 
 🔍 What You&rsquo;ll Do
 
 
 
 
 Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Build dashboards in
 
 Power BI / Tableau / Grafana
 
 for utilization, asset inventory, network health, power usage &amp; operations metrics.
 </li>
 <li>
 Analyze server, storage, network, and environmental data to identify risks and trends.
 </li>
 <li>
 Automate weekly/monthly operational reporting.
 </li>
 </ul>
 
 
 Capacity &amp; Performance Management
 
 
 <ul>
 <li>
 Monitor compute, memory, storage &amp; network utilization.
 </li>
 <li>
 Forecast future capacity needs using data trends &amp; predictive analytics.
 </li>
 <li>
 Recommend resource optimization, hardware refresh, and load balancing strategies.
 </li>
 </ul>
 
 
 DCIM &amp; Infrastructure Insights
 
 
 <ul>
 <li>
 Work with DCIM tools:
 
 Sunbird, Nlyte, EcoStruxure, Vertiv Trellis, NetZoom
 
 .
 </li>
 <li>
 Maintain asset accuracy, rack layouts, power chain mapping &amp; environmental telemetry.
 </li>
 <li>
 Extract insights to support SRE &amp; operations teams.
 </li>
 </ul>
 
 
 Energy, Power &amp; Cooling Analytics
 
 
 <ul>
 <li>
 Track PUE, cooling efficiency, thermal performance, and energy consumption.
 </li>
 <li>
 Identify anomalies &amp; support sustainability and cost-optimization initiatives.
 </li>
 </ul>
 
 
 Reliability &amp; Incident Analytics
 
 
 <ul>
 <li>
 Analyze incidents to identify failure patterns &amp; recurring issues.
 </li>
 <li>
 Build RCA dashboards for leadership &amp; reliability teams.
 </li>
 <li>
 Support initiatives to reduce downtime.
 </li>
 </ul>
 
 
 Predictive Analytics (Preferred)
 
 
 <ul>
 <li>
 Build ML-based models for:
 </li>
 <li>
 Hardware failure prediction
 </li>
 <li>
 Thermal/cooling anomalies
 </li>
 <li>
 Power overload risks
 </li>
 <li>
 Capacity exhaustion
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong analytics experience in compute, storage, network, and power/cooling systems.
 </li>
 <li>
 Expertise with
 
 Power BI / Tableau / Grafana / Kibana / Splunk
 
 .
 </li>
 <li>
 Experience with DCIM tools (any).
 </li>
 <li>
 Good understanding of virtualization, servers, networking &amp; storage.
 </li>
 <li>
 SQL proficiency; Python/PowerShell is a plus.
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical mindset
 </li>
 <li>
 Excellent reporting &amp; documentation
 </li>
 <li>
 Ability to collaborate across DC Ops, SRE, Facilities &amp; Engineering
 </li>
 <li>
 Clear communication with leadership &amp; technical teams
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Engineering, Computer Science, IT, or equivalent.
 </li>
 <li>
 Preferred Certifications:
 </li>
 <li>
 Data Center Operations
 </li>
 <li>
 Cloud Infra (AWS/Azure/GCP)
 </li>
 <li>
 ITIL
 </li>
 <li>
 Power BI/Tableau
 </li>
 </ul>
 
 
</div>

Data Center Analytics Specialist

<div>At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we&rsquo;ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you&rsquo;ll be part of a pioneering team shaping the future of robotics&mdash;working alongside world-class experts in a fast-moving, innovation-driven environment.
This Position reports to:
E2E Analytics Lead<h3 class="jobSectionHeader"> 
</h3><div>
Your role and responsibilities 
 
In this role, you will help shape the future of robotics through data and intelligence. From forecasting and clustering to natural language processing and LLM-powered agents, you&rsquo;ll turn complex challenges into smart solutions. Partnering with our Commercial, Marketing, and Finance teams, your expertise will fuel innovation, sharpen decision-making, and drive our mission to deliver smarter, faster, and more connected robotics business. 
 
The work model for the role is: #Li_hybrid 
 
This role is contributing to the Robotics &amp; Discrete Automation in Bangalore, India. 
 
You will be mainly accountable for:<ul><li>
Develop and deploy AI/ML solutions across forecasting, clustering, classification, NLP, and LLM-powered agents to address diverse business challenges.</li><li>
Actively support the AI/ML Lead in driving innovation, exploring emerging technologies, and integrating new AI/ML trends into Robotics solutions.</li><li>
Partner with Commercial, Marketing, and Finance teams to translate business needs into data-driven solutions and measurable impact.</li><li>
Build, optimize, and maintain machine learning pipelines, ensuring scalability, robustness, and operational efficiency.</li><li>
Design and implement advanced analytics models for forecasting, customer insights, market segmentation, and financial optimization.</li><li>
Leverage LLMs and intelligent agents to enhance automation, knowledge management, and decision-support tools.</li><li>
Ensure model interpretability and transparency, enabling clear communication of insights and recommendations to stakeholders.</li><li>
Collaborate with cross-functional teams in Robotics and the wider Analytics community to foster innovation and share best practices.</li></ul></div><div> 

Qualifications for the role<ul><li>
Master&rsquo;s or Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related field.</li><li>
Proficiency in Python, SQL, and ML frameworks (XGBoost / LightGBM, K-Means, Scikit-learn, TensorFlow etc.); experience with NLP, LLMs, forecasting, clustering, and classification; strong knowledge of data platforms such as Snowflake; familiarity with cloud services (Azure) and modern data pipelines. Experience with Streamlit for interactive data applications is desirable but not mandatory.</li><li>
5 years of experience with 3 years experience in applied AI/ML, delivering end-to-end solutions from model design to deployment</li><li>
Previous exposure to business functions such as commercial, marketing, or finance is a plus.</li><li>
Strong problem-solving mindset, natural curiosity to explore emerging AI trends and ability to simplify complexity for non-technical audiences</li><li>
You bring a collaborative spirit, adaptability, creativity in finding innovative solutions, and a proactive, self-driven approach to making an impact.</li></ul></div><div></div><div>
More about us 
</div><div>ABB Robotics &amp; Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders. www.abb.com/robotics</div><div></div> 
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. 
We never ask for money from job applicants.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.</div>

Data Analytics & BI Specialist / Data Scientist & ML Specialist

Odeabank

<div>
 
 
 We are looking for an Odealist to create value together!
 
 
 
 
 
 
 We work in a world where new ideas, bold steps, and learning happen every day. At Odeabank, we measure success not only by results but also by
 
 learning, growing, and creating value.
 
 
 
 We work in a culture that is collaborative, innovative, and open to different perspectives. Everd day, we move forward together for a better experience and a stronger future.
 
 
 
 
 
 
 What Can You Expect?
 
 
 
 &bull;
 
 A culture that supports your development:
 
 Training, mentoring, and continuous learning opportunities
 
 
 &bull;
 
 Working model:
 
 A remote working model environment that offers both productivity and balance
 
 
 &bull;
 
 Inclusive team structure:
 
 An organizational culture shaped by openness, respect, authenticity, and enthusiasm
 
 
 &bull;
 
 Sustainable vision:
 
 Commitment to gender equality, diversity, and sustainability
 
 
 &bull;
 
 Supportive leadership:
 
 Managers who value your ideas and encourage sharing
 
 
 
 
 
 
 About the Role
 
 
 
 To optimize retail loan collection performance through analytical models, data analysis, and actionable insights. Develop data-driven strategies to improve collection efficiency, enhance risk segmentation, and support operational effectiveness.
 
 
 
 
 <ul>
 <li>
 Develop, monitor, and update scorecards, segmentation models, and forecasting algorithms used in retail loan collection processes
 </li>
 <li>
 Prepare daily, weekly, and monthly performance reports, present trend analyses to senior management
 </li>
 <li>
 Support strategic action plans with data analysis to reduce delinquency and default rates
 </li>
 <li>
 Collaborate closely with collections operations teams to implement data-driven action plans
 </li>
 <li>
 Design predictive models using machine learning and advanced analytics to detect delinquency risk in advance
 </li>
 <li>
 Responsible for modifying and updating decision support system software and collection rules
 </li>
 <li>
 Ensure compliance with regulatory and internal audit requirements in data management and reporting processes
 </li>
 <li>
 Conduct A/B testing and optimization initiatives to improve collection efficiency via digital channels
 </li>
 </ul>
 
 
 
 
 
 General Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Econometrics, Mathematics, Engineering, Computer Science or a related field
 </li>
 <li>
 Preferably max 6 years experienced in collections analytics, risk analysis, or credit risk management within the banking sector
 </li>
 <li>
 Experience in data analysis and modeling using SQL, Python, or R
 </li>
 <li>
 Advanced skills in Excel and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Preferably proficient in written and reading English
 </li>
 <li>
 Continues to learn while sharing their experience
 </li>
 <li>
 Can communicate effectively in teamwork
 </li>
 <li>
 Follows innovations and adapts quickly to change
 </li>
 <li>
 Reflects analytical thinking and problem-solving skills in their work
 </li>
 <li>
 A proactive and solution-oriented professional who contributes to the corporate culture
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Private Mixed Health Insurance for you and (if applicable) your spouse and children
 </li>
 <li>
 Corporate Life Insurance
 </li>
 <li>
 Remote Work Support
 </li>
 <li>
 Meal Allowance
 </li>
 <li>
 Birthday Leave
 </li>
 <li>
 Shuttle Service for Head Office Employees- (Transportation Allowance for Branch Employees)
 </li>
 </ul>
 
 
 
 
 
 Why Odeabank?
 
 
 
 &bull; Innovative business model focused on investment and technology
 
 
 &bull; Odealist teams shaping not only today but also the future
 
 
 &bull; Corporate discount agreements with O'Deal
 
 
 &bull; Social events, clubs, and employee communities
 
 
 &bull; Special occasion celebrations
 
 
 &bull; Recognition and reward mechanisms that regularly highlight achievements
 
 
 &bull; Well-being seminars
 
 
 
 
 
 
 If you want to grow in an Odealist culture
 
 , complete your application now and join us on our journey! 💫
 
 
 
 
 
 
 *The hiring process at Odeabank includes Human Resources Assessment, relevant manager interviews, and competency-based evaluations.
 
 
 
 
 The offer process begins for candidates who successfully complete all stages.
 
 
 
 
 
 
 
 **Under the Personal Data Protection Law No. 6698, your personal data is processed solely for recruitment purposes during the application process.
 
 
 
 
 Detailed information can be found at
 
 Odeabank Personal Data Protection Disclosure Text.
 
 
 
 
 
</div>

Retail & Micro Loans Data Analytics Senior Specialist / Assistant Manager

OneIngage

<div>
 
 
 About the Position:
 
 
 
 
 
 
 This role, based within
 
 OneIngage&rsquo;s Data Analytics team
 
 , is responsible for managing end-to-end measurement and data analytics processes across brands&rsquo; digital assets.
 
 
 The main focus of the role is the setup of web and mobile measurement infrastructures, integration with marketing platforms, transforming collected data into meaningful insights, and reporting actionable results.
 
 
 The
 
 Senior Data Analytics Specialist
 
 combines strong technical expertise with analytical thinking to help brands strengthen their data-driven decision-making culture.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Minimum
 
 3 years of experience
 
 in digital measurement, data analysis, or a related field,
 </li>
 <li>
 Advanced knowledge of
 
 Google Analytics 4
 
 and
 
 Google Tag Manager
 
 ,
 </li>
 <li>
 Hands-on experience with
 
 mobile measurement tools
 
 (e.g., Adjust, Appsflyer),
 </li>
 <li>
 Strong understanding of
 
 marketing platforms&rsquo; measurement ecosystems
 
 (e.g., Google Ads, Meta, TikTok),
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and practical experience working with
 
 BigQuery
 
 ,
 </li>
 <li>
 Experience in
 
 data visualization and reporting
 
 using
 
 Looker Studio
 
 or similar BI tools,
 </li>
 <li>
 Familiarity with
 
 GCP (Google Cloud Platform)
 
 products,
 </li>
 <li>
 Ability to derive
 
 strategic insights from data
 
 and communicate them clearly and effectively.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design web and mobile measurement strategies, define event structures, and manage implementation and testing using tools such as
 
 GA4, GTM, Adjust
 
 , etc.,
 </li>
 <li>
 Manage measurement, data transfer, and
 
 pixel / CAPI / Events API
 
 integrations across marketing platforms (
 
 Google Ads, Meta, TikTok, DV360
 
 , etc.),
 </li>
 <li>
 Conduct
 
 audit and validation processes
 
 to ensure the accuracy and completeness of existing measurement infrastructures, identifying improvement opportunities,
 </li>
 <li>
 Perform
 
 data querying, cleaning, modeling, and analysis
 
 on
 
 BigQuery
 
 ,
 </li>
 <li>
 Generate actionable
 
 insights and performance outcomes
 
 from measurement data,
 </li>
 <li>
 Support clients&rsquo;
 
 ad-hoc reporting needs
 
 with timely and accurate data solutions,
 </li>
 <li>
 Design
 
 reports and dashboards
 
 (via
 
 Looker Studio, Supermetrics, Adverity
 
 , etc.) that contribute to data-informed decision-making,
 </li>
 <li>
 Contribute to
 
 advanced analysis and automation projects
 
 using
 
 GCP
 
 products,
 </li>
 <li>
 Play an active role in cross-functional projects by combining technical and analytical perspectives.
 </li>
 </ul>
 
 
</div>

Senior Data Analyst

<div>
 Job Title: Senior Data Analyst / Data Analytics Specialist
 
 
 Location: EXL Services
 
 
 Experience Level: 4+ Years
 
 
 Industry: Banking / Financial Services
 
 
 Department: Data Management
 
 
 
 Job Overview
 
 
 
 We are seeking a highly skilled and experienced Data Analyst/Data Analytics Specialist to join our company. This role is ideal for someone with a strong background in Python, PySpark, SQL, Tableau, and advanced data analytics, including experience with classification and regression algorithms. The ideal candidate will have a solid understanding of the banking domain mainly Home Equity, be an excellent communicator, and possess a passion for transforming data into actionable insights.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines using Python, PySpark and SQL.
 </li>
 <li>
 Perform in-depth data analysis to identify trends, patterns, and insights that support business decision-making.
 </li>
 <li>
 Develop classification and regression models for predictive analytics projects.
 </li>
 <li>
 Create interactive and insightful dashboards and reports using Tableau.
 </li>
 <li>
 Work closely with in the team, including business stakeholders, product owners, to gather requirements and deliver data-driven solutions.
 </li>
 <li>
 Validate data for accuracy, completeness, and reliability.
 </li>
 <li>
 Interpret business needs and translate them into analytic solutions and actionable outcomes.
 </li>
 <li>
 Present complex findings and insights to both technical and non-technical audiences clearly and effectively.
 </li>
 <li>
 Contribute to continuous improvement of data practices, processes, and documentation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in computer science, Data Science, Statistics, or a related field.
 </li>
 <li>
 4+ years of proven experience in a data analyst or similar data analytics role.
 </li>
 <li>
 Strong hands-on experience with: - Python (including relevant data libraries such as pandas, NumPy, scikit-learn)
 </li>
 <li>
 PySpark for distributed data processing
 </li>
 <li>
 SQL for querying and managing large datasets
 </li>
 <li>
 Tableau for dashboarding and visualization
 </li>
 <li>
 Solid understanding and experience with machine learning techniques, especially classification and regression algorithms.
 </li>
 <li>
 Prior experience or knowledge in the banking or financial services domain is highly preferred. Home Equity Banking knowledge is mostly preferred.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

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