senior data analyst

NEWCOM Computer Systems LLC

Job Summary: We are seeking a skilled Power Data Analyst with Power BI Skills to transform raw data into meaningful insights that support decision-making across the organization. The ideal candidate will have strong analytical skills, proficiency in data visualization, and hands-on experience with Power BI, along with the ability to communicate findings effectively to both technical and non-technical stakeholders.Key Responsibilities:<ul><li>Design, develop, and maintain interactive dashboards and reports in Power BI.</li><li>Gather requirements from business teams and translate them into effective data models and visualizations.</li><li>Connect, import, clean, and transform data from multiple sources (databases, ERP systems, Excel, etc.).</li><li>Create and optimize DAX queries and measures for accurate reporting.</li><li>Ensure data accuracy, consistency, and security across reports and dashboards.</li><li>Perform data analysis to identify trends, patterns, and insights for business improvement.</li><li>Automate reporting processes and develop self-service BI solutions for end-users.</li><li>Collaborate with cross-functional teams (IT, Finance, Sales, HR, etc.) to deliver data-driven insights.</li><li>Stay updated on best practices, new features, and emerging trends in Power BI and data analytics.</li></ul>Qualifications &amp; Skills:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field.</li><li>Certification in Power BI is mandatory.</li><li>Proven experience as a Data Analyst or BI Specialist with strong focus on Power BI.</li><li>Proficiency in DAX, Power Query, and data modeling techniques.</li><li>Strong knowledge of SQL and experience with relational databases.</li><li>Advanced Excel skills (pivot tables, formulas, data visualization).</li><li>Experience with data integration and ETL processes is an advantage.</li><li>Analytical mindset with problem-solving skills and attention to detail.</li><li>Strong communication skills to present insights to stakeholders.</li></ul>Preferred:<ul><li>Minimum 5-8 Yrs of experience is required.</li><li>Experience with other BI tools (Tableau, Qlik, etc.).</li><li>Knowledge of Python or R for data analysis.</li><li>Familiarity with cloud platforms such as Azure Data Services.</li></ul>Job Type: Full-timePay: AED5,000.00 - AED8,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Analyst: 5 years (Required)</li></ul>License/Certification:<ul><li>power BI Certification from Microsoft (Required)</li></ul>

Senior Data Analyst

TT Group

Job Profile : Senior Data Analyst Function : Data Analytics Location : Mumbai Joining : Immediate &ndash; 15 days Education: Graduation Experience : Minimum 5 yearsWorking Days : Monday &ndash; Friday (Sat and Sun fixed off) Shift timings : 12pm &ndash; 9pm Introduction to Company:Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries. At that time, most of the educational forums provided for specialized industries were general and colorless.They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed none. TT LifeSciences set out to do things differently. We are client-centered and carefully curate a program designed for our clients&rsquo; needs. The result? Educational events that are tailored to the professionals who attend and provide a space for real growth.We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech.We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn, inspire and innovate.Benefits: <ul><li>Work life balance.</li><li>Rewards &amp; Recognitions programs.</li><li>Employees completing three years receive loyalty bonuses ranging from INR 1Lac to INR 5 Lacs.</li><li>Professional development and career advancement opportunities are actively encouraged.</li><li>Opportunity to work across global Markets Berlin, Germany, the USA, and Europe.</li><li>Additional benefits include paid holidays, festive leaves, and team gatherings.</li><li>Comprehensive perks such as Provident Funds and health insurance are provided.</li><li>Sick leave and relocation assistance are also part of the employee support program.</li></ul>Job Responsibilities: <ul><li>Collect and clean data from different sources to find useful trends and insights.</li><li>Create and update dashboards, reports, and charts to share results clearly.</li><li>Work with teams to understand their data needs and provide solutions.</li><li>Use statistical methods and forecasting to support decision-making.</li><li>Suggest ways to improve processes, automate tasks, and maintain data quality.</li><li>Ensure data is accurate, reliable, and follows privacy rules.</li><li>Keep learning new tools and methods in data analysis.</li><li>Share findings and recommendations with stakeholders in an easy-to understand way.</li><li>Support business growth by providing timely and relevant insights.</li><li>Help in designing data strategies that align with company goals.</li><li>Assist in training team members on using data tools and reports.</li></ul>Candidate Specification: <ul><li>Excellent verbal and written communications skills.</li><li>Confident while working</li><li>Strong work ethic</li><li>International exposure</li><li>To-do-attitude</li><li>Willingness to learn</li><li>Long term approach</li></ul>Required Skills: <ul><li>Bachelor&rsquo;s degree in data science, Statistics, Mathematics, Computer Science,or a related field. Master&rsquo;s degree preferred.</li><li>5+ years of experience in data analysis, business intelligence, or a related role.</li><li>Proficiency in SQL, Python, R, or other data analysis tools.</li><li>Experience with data visualization tools such as Tableau, Power BI, or similar.</li><li>Strong analytical skills with a keen eye for detail.</li><li>Knowledge of statistical methods and data modeling.</li><li>Excellent communication and presentation skills.</li><li>Ability to handle multiple projects and prioritize effectively.</li></ul>Job Type: Full-timePay: &#8377;600,000.00 - &#8377;1,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid sick time</li></ul>Ability to commute/relocate:<ul><li>Mumbai Suburban, Maharashtra: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data analytics: 5 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>

Abbott

<div><div>1. Job Purpose: 
 
The Analyst, Global Data Science &amp; Analytics will work with a team of data scientists and data engineers to deliver data science solutions. The Analyst will support various analytics projects for internal and external stakeholders, for example providing real-time intelligence on market share, performing analytics to guide clinical trial design, and identifying patients who may be eligible for therapies. These projects use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging business problems. 
 
2. Knowledge, Experience and Education: 
 
Education: Bachelor's degree 
a. Bachelor&rsquo;s degree in STEM field 
b. Years of experience, both overall and any industry-specific experience needed: 
<ul><li>Familiarity with at least one programming language (Python, PySpark, SQL, R, SAS)</li><li>Knowledge of at least one database software required (Databricks/SQL)</li></ul> 

3. Other qualifications/certifications. 
 
<ul><li>1-year of experience in medical device industry or experience working with health insurance claims</li></ul>
preferred 
<ul><li>Able to work both independently and as a team member</li><li>Experience coordinating and prioritizing for multiple tasks</li><li>Good organizational and time management skills</li><li>Able to communicate effectively, both orally and in writing</li><li>Excellent attention to detail and accuracy</li><li>Experience in a life sciences environment a plus</li></ul> 

4. Major Accountabilities: Describe the major accountabilities of the job in order of importance 
 
Major Accountabilities 
1. Lead activities performed to keep an ML model running smoothly, adaptively, and 
effectively post-deployment. 
2. Prepare datasets for statistical analysis and provide data quality checks. 
3. Perform programming to create reports and troubleshoot programming issues (in 
SAS, R or similar). Validate programs, analysis data and results. 
4. Provide other study support by reading and summarizing relevant background 
material, clinical study papers and publications. 
5. Assist in interpretation and presentation of results through figures/tables/reports, 
including necessary explanation of data and analysis. 
6. Work as part of a team to understand and deliver solutions for complex data and 
business problems. 
 
5. Principle Challenges: Select the option that best describes the typical situations/problems the job faces from the drop down, and then provide an example of a typical challenge and how the jobholder would solve it.</div>
Follows instructions in completing assignments. Situations are routine and are solved by doing what worked last time 
 
Solution: candidate must rerun data models and refresh data sets to reflect the latest data. This will require running programs (models) to generate data sets, and troubleshooting any issues in the programming, should they arise. This will also require the candidate to validate programs, review analysis data and quality check results.</div>

Nouveaux Talents

<div>
 
 This is a strategic role designed for a
 
 proactive, detail-oriented analyst
 
 who can turn audience data into actionable insights that shape event growth, drive engagement, and enhance commercial outcomes.
 
 
 
 
 
 This role will be central to strengthening the audience data across portfolios &mdash; through intelligent audits, identifying gaps in segmentation, and uncovering new high-potential sources of audience growth.
 
 
 You will work across marketing, content, commercial and central data teams to ensure that each portfolio is supported with the right audience intelligence, and help evolve the data universe into a valuable strategic asset.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 1. Data Universe Auditing &amp; Gap Identification:
 
 
 <ul>
 <li>
 Conduct in-depth audits of each brand&rsquo;s audience database (exhibitor and visitor side).
 </li>
 <li>
 Analyse marketability, segmentation, completeness of demographic fields, and behavioural data.
 </li>
 <li>
 Present clear gap analyses and prioritised action plans to guide research, enrichment, or reactivation strategies.
 </li>
 </ul>
 
 
 
 
 
 2. Audience Data Research &amp; Expansion:
 
 
 <ul>
 <li>
 Work with the Head of Data &amp; Analytics to identify strategic sources for data acquisition (e.g., associations, public databases, competitor websites, BNC/EIC platforms).
 </li>
 <li>
 Coordinate research briefs and data partner engagement for targeted data builds.
 </li>
 <li>
 Contribute to scoping new internal tools (e.g., web scrapers, enrichment workflows) to support long-term audience growth.
 </li>
 </ul>
 
 
 
 
 
 3. Insight Generation &amp; Use Case Support:
 
 
 <ul>
 <li>
 
 
 Build reports and visualisations to support audience segmentation strategies and market development plans.
 </li>
 <li>
 Evaluate data quality and research performance across campaigns and data providers
 </li>
 <li>
 Support Marketing and Commercial teams with insights that align audience development with business objectives.
 </li>
 </ul>
 
 
 
 
 
 4. Cross-functional Collaboration:
 
 
 <ul>
 <li>
 Collaborate with Marketing, Sales, and Content teams to ensure audience insights are applied effectively.
 </li>
 <li>
 Work closely with the central data/engineering team to validate data pipelines, enrichments, and imports.
 </li>
 <li>
 Actively contribute to persona-building and customer journey workshops with meaningful data inputs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 4-6 years of experience in data analysis, ideally within audience strategy, market research, or marketing analytics.
 </li>
 <li>
 Strong proficiency in SQL, Excel, and BI tools (e.g., Power BI) for querying and analysing large datasets.
 </li>
 <li>
 Experience in identifying data quality issues, building reports, and translating findings into action.
 </li>
 <li>
 Proactive, investigative mindset &mdash; you seek out insights, gaps, and hidden opportunities.
 </li>
 <li>
 Comfortable presenting complex data in a digestible format to commercial and marketing stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Desirable
 
 
 <ul>
 <li>
 Background in B2B marketing, events, media, or exhibitions.
 </li>
 <li>
 Exposure to data acquisition, enrichment, or scraping workflows.
 </li>
 <li>
 Familiarity with segmentation, TAM analysis, or market universe modelling.
 </li>
 </ul>
 
 
 
 
 
 Why This Role Matters
 
 
 
 You&rsquo;ll play a critical role in helping the business understand who their audiences are, where the gaps lie, and how to grow strategically &mdash; influencing not just data strategy but how to engage with entire segments of the global market.
 
 
 
 
 
 
 Other benefits-
 
 
 
 Attractive Pay &amp; UAE Benefits.
 
 
 
</div>

Enhanced Veterans Solutions, Inc.

<div>Description:

EVS is hiring a Senior Data Analyst (eCRAFT: Analyst, Operations III &ndash; ANP3) to design, analyze, and manage data warehousing and analytics systems supporting NSWCDD business and financial operations.<div> 
Responsibilities: 
<ul><li>Develop logical and physical data models, interface specifications, and validation plans.</li><li>Support ERP, Working Capital Fund (WCF), and HR data integration.</li><li>Create SQL queries, reports, and dashboards for decision support.</li></ul> 
</div>Work is **non-remote** and will be performed **on-site** at the Naval Surface Warfare Center, Dahlgren Division (NSWCDD), Dahlgren, VA
Employment will begin **upon contract award**
Requirements:
<ul><li>Six (6) years of experience in data analysis, modeling, and integration.</li><li>
Experience with SQL, data warehousing, and DoD financial systems.</li><li>
**Clearance Required:** SECRET (T3).</li></ul></div>

Senior Data Analyst (ANP3)

TPConnects

<div>
 Key Responsibilities
 <ul>
 <li>Collect, process, and analyze large volumes of data from multiple sources to identify trends, patterns, and insights.</li>
 <li>Develop and implement machine learning models to support predictive analytics and decision-making processes.</li>
 <li>Design, build, and maintain interactive dashboards and reports using Tableau to communicate findings effectively to non-technical stakeholders.</li>
 <li>Collaborate with cross-functional teams to understand business needs and translate them into data strategies.</li>
 <li>Present complex analytical concepts and results to senior management and executive teams clearly and concisely.</li>
 <li>Ensure data accuracy, quality, and integrity throughout all analysis and reporting activities.</li>
 <li>Stay updated with the latest trends in big data, analytics, and machine learning technologies.</li>
 </ul>
 Skills and competencies
 <ul>
 <li>Bachelor s or master s degree in data science, Statistics, Computer Science, or a related field.</li>
 <li>Proven experience (3+ years) in data analysis, with a focus on big data environments.</li>
 <li>Strong knowledge of machine learning algorithms and frameworks.</li>
 <li>Expertise in using Tableau for data visualization and storytelling.</li>
 <li>Proficiency in SQL, Python, R, or other analytical tools and languages.</li>
 <li>Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.</li>
 <li>Strong problem-solving skills and attention to detail.</li>
 </ul>
</div>

Tabby

Senior Data Analyst, Customer Experience Department: CX Analytics Employment Type: Full Time Location: Remote Reporting To: Anton Filimonov Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 4 Senior Data Analyst, Customer Experience Department: CX Analytics Employment Type: Full Time Location: Remote Reporting To: Anton Filimonov Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion. About the Role As a Customer Experience (CX) Data Analyst , you will play a central role in transforming how we support our customers by leveraging data, automation, and AI. You'll empower teams with insights, optimize support operations, and co-create intelligent workflows with LLM agents. This role blends analytics, process optimization, and LLM integration to drive smarter, faster, and more human-centered support experiences. What you will be doing Data Analysis &amp; Insights Analyze large-scale datasets related to agent performance, support interactions and QA. Write optimized SQL queries using tools like BigQuery and ClickHouse. Build dashboards in Tableau, Metabase. Detect behavioral and performance trends among agents and support teams. Partner with QA to identify root causes in agent behavior and customer issues. LLM Agent Development &amp; Evaluation Design and test LLM agents embedded in support flows. Implement evaluation pipelines (manual + automatic) for LLM response quality using semantic similarity and completion metrics. Collaborate with AI/ML teams to monitor and improve the performance of LLM agents over time. Collaborate with Dev teams, request features to enhance LLM agents. Collaborate with Tools &amp; Processes team to enhance the knowledge base for LLM agents. Automation &amp; Workflow Optimization Work with Airflow and Python to automate data tasks and support workflows. Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking. Translate business inefficiencies into trackable metrics and measurable outcomes. Cross-Functional Collaboration Act as an analytical partner to Operations, Support Management, QA, and Training. Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines. Communicate findings clearly through presentations, visualizations, and concise documentation. What you'll need 3+ years of experience as a data analyst in a fast-paced, data-heavy environment. Advanced SQL skills (preferably in BigQuery and/or ClickHouse). Proficiency in Python for data analysis, automation, and integration tasks. Experience with data visualization tools (e.g. Tableau, Metabase, Looker). Understanding of Airflow, DAG orchestration, and modern data pipelines. Experience with LLM agents, prompt engineering, and OpenAI API usage. Ability to translate business questions into structured, testable hypotheses. Strong presentation and storytelling skills; able to communicate with technical and non-technical stakeholders alike. Upper-Intermediate or higher English proficiency (spoken and written). Job Benefits Relocation and Employment We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you. Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE. What you can expect We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company's employee stock options program. We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be). If this sounds exciting to you, we'd love to hear from you!

Senior Data Analyst, Customer Experience

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