senior data analyst

Salt

<div>
 
 
 Role: Senior Data Analyst
 
 
 
 
 Location: Dubai
 
 
 
 
 
 
 The Senior Data Analyst designs and executes analyses across multiple data sources. Develops dashboards and reports that provide actionable business insights. Interpret complex data using AI, machine learning, and statistical tools to uncover patterns and problems.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Responsible for analyzing complex data sets, identifying trends, and providing actionable insights to key stakeholders.
 </li>
 <li>
 Design and conduct complex analyses using statistical methods and data mining techniques
 </li>
 <li>
 Transform raw data into meaningful visualizations, dashboards, and reports
 </li>
 <li>
 Identify patterns, trends, and correlations in large datasets to support business decision-making
 </li>
 <li>
 Develop and maintain KPI metrics and performance measurement frameworks
 </li>
 <li>
 Create predictive models and forecasts to anticipate business trends and opportunities
 </li>
 </ul>
 
 
 Skills:
 
 
 <ul>
 <li>
 7+ years of progressive experience in data, analytics, or business intelligence roles &amp; a minimum of 2 years in leadership positions managing data teams and projects
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, or related field.
 </li>
 <li>
 Knowledge of programming languages such as R, Python, SQL, and have strong database design and coding skills
 </li>
 <li>
 Strong understanding of data architecture &amp; data modeling
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
</div>

Senior Data Analyst

Coptic Orphans

<div>Senior Data Analyst 
 
Purpose of the Job
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. 
Essential Functions and Responsibilities<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> 
Required Education, Experience, Knowledge, and Skills<ul><li>
Bachelor's degree in 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></ul><ul><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></ul><ul><li>
Excellent written and verbal communication skills, with confidence in 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> 
Travel and Working Requirements
<ul><li>Limited to a 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></div>

<div>
 
 Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Investigate and Analyze data anomalies and data issues reported by Business
 </li>
 <li>
 Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
 </li>
 <li>
 Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
 </li>
 <li>
 Assist in break fix and production validation as it relates to data derivations, replication and structures
 </li>
 <li>
 Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools
 </li>
 <li>
 Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
 </li>
 <li>
 Gather information from various Sources and interpret Patterns and Trends
 </li>
 <li>
 Ability to work in a team-oriented, fast-paced agile environment managing multiple
 </li>
 </ul>
 
 priorities
 
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
 </li>
 <li>
 4+ years of experience working with Exadata and SQL Server databases
 </li>
 <li>
 4+ years in a Data Analyst role
 </li>
 <li>
 Strong attention to Detail
 </li>
 <li>
 2+ years writing medium to complex stored procedures a plus
 </li>
 <li>
 Ability to collaborate effectively and work as part of a team
 </li>
 <li>
 Extensive background in writing complex queries
 </li>
 <li>
 Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
 </li>
 <li>
 Good Communication skills
 </li>
 <li>
 Self-Motivated
 </li>
 <li>
 Works well in a team environment
 </li>
 <li>
 Denodo Experience a plus
 </li>
 <li>
 Master Data Management a plus
 </li>
 <li>
 Big Data Experience a plus (Hadoop, MongoDB)
 </li>
 <li>
 Postgres and Cloud Experience a plus
 </li>
 </ul>
 
 
</div>

INT9 Solutions

We&rsquo;re looking for a Senior Data Analyst who knows how to turn raw data into clear insights that drive smarter decisions and help us hire and retain top talent. This role blends analytical depth, data modeling, and strong business partnership across HR, Talent Acquisition, and leadership teams.What You&rsquo;ll Own<ul><li>Build advanced analyses including cohort, scenario, time-series, and predictive models.</li><li>Translate complex findings into clear visuals and narratives using Tableau or Power BI.</li><li>Partner with stakeholders to clarify requirements and build structured project plans.</li><li>Design data models that define how tables, columns, and data elements connect across systems.</li><li>Work side-by-side with BI engineers to develop scalable, high-performance reporting solutions.</li><li>Write and optimize complex SQL queries to pull data from Snowflake and other data warehouses.</li><li>Validate data quality, perform QA, and investigate discrepancies.</li><li>Troubleshoot data issues and perform root-cause analysis when reporting accuracy is questioned.</li></ul>What You Bring<ul><li>7+ years in Data Analytics, BI Analytics, or BI Engineering.</li><li>Expert-level SQL skills and experience with cloud warehouses (Snowflake, Redshift, BigQuery, SQL Server, Oracle).</li><li>Strong experience building data models and dashboards in Tableau, Power BI, Looker, or similar tools.</li><li>Solid analytical tool skills (Excel, Google Sheets, etc.).</li><li>Degree in Data Analytics, Data Science, Information Systems, Statistics, Computer Science, or related field.</li><li>Comfortable collaborating across teams and time zones.</li></ul>Nice to Have<ul><li>Experience in People Analytics or HR analytics functions.</li><li>Hands-on familiarity with HR systems like Workday, Greenhouse, iCIMS, or Qualtrics.</li><li>Strong communication skills and confidence working directly with senior stakeholders.</li></ul>Job Type: Full-timePay: Up to &#8377;2,200,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid time off</li><li>Provident Fund</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data analytics: 5 years (Required)</li></ul>Work Location: In person

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 
 
 
 We&rsquo;re looking for experienced Senior Data Analyst to join our game changer team.
 
 
 
 
 
 📱
 
 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Analyze regulatory requirements, process and report data sets in accordance with these requirements and generate insights for decision support.
 </li>
 <li>
 Compiling ad-hoc data requests from regulatory agencies from different systems and ensuring their timely and complete transmission.
 </li>
 <li>
 Continuously check the accuracy, consistency and quality of data transmitted to regulatory authorities; identify erroneous data and take corrective actions.
 </li>
 <li>
 To identify patterns, anomalies and trends in data sets; to support these findings with statistical analysis techniques and to provide improvement suggestions for business processes.
 </li>
 <li>
 Contributing to the improvement of existing data infrastructures in order to increase the efficiency of data processing and transmission processes.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 👩 👨 Who You Are
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Industrial Engineering, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 Powerful and comprehensive querying experience with SQL.
 </li>
 <li>
 Experience in visualization and business intelligence (BI) platforms; especially knowledge of Strategy platform is a plus.
 </li>
 <li>
 Ability to analyze large and complex data sets.
 </li>
 <li>
 Advanced proficiency in Python and related data analysis libraries (especially Pandas, NumPy).
 </li>
 <li>
 Strong skills in data analytics, statistical thinking and problem solving.
 </li>
 <li>
 Ability to present the results of analysis with effective visuals and to communicate them clearly and comprehensibly in written and verbal form.
 </li>
 <li>
 To be willing to work in public regulations, legislative compliance and audit-oriented data processes and to be open to development in this field.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Senior Data Analyst. Therefore, you should have more than 5+ years of experience in a Data Analyst role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 ✅Our hiring process
 
 
 
 We&rsquo;re guided by our goal of creating an equitable and inclusive experience where candidates from a wide variety of backgrounds have an opportunity to succeed.
 
 
 We do not imagine a complex recruitment process. That's why do we care that the process is short, fast and transparent.
 
 
 1.Application: You can apply for open positions on LinkedIn.
 
 
 2.First Interview: We want above all to assess your skills and see if you and TurkNet values are a match.
 
 
 3.Case study: We may need to test technical skill for some positions.
 
 
 4.Second Interview: Deep dive to your technical skills by hiring manager
 
 
 5.Welcome TurkNet!
 
</div>

Onset Technologies

<div><div>Job Description:</div><div>
The Senior Data Analyst will analyze existing business processes and data workflows to understand current functionality and identify gaps or inefficiencies. The candidate will elicit and document business requirements, create Epics and User Stories with acceptance criteria, and collaborate with product owners, business stakeholders, and development teams to ensure systems align with business objectives. The role involves presenting data models and dashboards, documenting requirements and processes, and driving improvements to data management practices across the organization.</div><div>
</div><div>
This position is onsite and open only to local candidates in the Austin, TX area.</div><div>
</div><div>
Job Responsibilities:</div><ul><li>
Analyze current business processes, data flows, and pain points to identify areas for improvement.</li><li>
Elicit and document comprehensive business requirements, translating complex needs into clear functional and non-functional requirements.</li><li>
Write Epics and User Stories, including acceptance criteria, to communicate requirements to development and QA teams.</li><li>
Design, optimize, and document data workflows and management processes using modeling or mapping tools.</li><li>
Create and maintain data-related documentation, including data dictionaries, business requirement documents, and data mapping specifications.</li><li>
Develop visual data models, dashboards, and reports to communicate trends, performance, and project timelines.</li><li>
Facilitate workshops, meetings, and interviews with stakeholders to gather information and present findings.</li><li>
Support process improvement initiatives and ensure alignment of systems with business objectives.</li></ul><div>
Required Skills &amp; Experience:</div><ul><li>
8+ years of hands-on experience as a business or data analyst in IT, demonstrating strong analytical and documentation skills.</li><li>
Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven problems and recommend solutions.</li><li>
Experience designing and optimizing data workflows and data management processes.</li><li>
Expertise in writing Epics and User Stories with acceptance criteria.</li><li>
Experience creating and maintaining data documentation, including data dictionaries and mapping specifications.</li><li>
Strong ability to develop and present visual data models and dashboards.</li><li>
Demonstrated skill in leading data-focused meetings and resolving data-related issues.</li></ul><div>
Preferred Skills &amp; Experience:</div><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Business Analytics, or related field (or equivalent experience).</li><li>
Experience managing multiple data projects concurrently.</li><li>
Knowledge of eligibility rules for SNAP, Medicaid, or TANF programs, and experience applying state/federal guidelines.</li><li>
Experience leading and coordinating JAD sessions</li></ul><div>
</div><div>
What We Offer:</div><ul><li>
Competitive compensation and benefits package.</li><li>
401(k), PTO, and medical/dental insurance.</li><li>
Career growth opportunities in a dynamic, private equity-backed organization.</li><li>
Collaborative, entrepreneurial culture that values innovation and continuous improvement.</li></ul><div><div>
Eligibility: 
Must be local to the Austin area and able to work onsite. Must be eligible to work in the U.S. without sponsorship or visa transfer.</div></div>
PLEASE SUBMIT YOUR RESUME IN WORD FORMAT</div>

Maximus KSA | ماكسيموس السعودية

<div>
 
 Job Description
 
 
 
 
 
 The Senior Data Analyst owns of complex data analysis projects, working closely with contract managers and senior stakeholders to drive insights that support contract delivery, compliance, and efficiency. The role includes shaping data strategy, and ensuring analytical outputs are able to inform decision-making at both tactical and strategic levels.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 &middot; Lead the design and delivery of advanced analytical models and reporting frameworks for operational contracts.
 
 
 &middot; Translate business requirements into analytical solutions and ensure insights are actionable and impactful.
 
 
 &middot; Proactively identify performance risks, inefficiencies, and opportunities for improvement across contracts.
 
 
 &middot; Support forecasting, benchmarking, and predictive modelling to anticipate contract performance.
 
 
 &middot; Ensure data governance, quality, and consistency across reporting processes.
 
 
 &middot; Present complex analysis and recommendations to senior leadership and external stakeholders.
 
 
 &middot; Act as a subject matter expert for analytics within an operational delivery environment fostering a culture of continuous learning and innovation.
 
 
 &middot; Ensure compliance with company policies, procedures, and ethical standards.
 
 
 &middot; Identify areas for improvement and implement necessary changes.
 
 
 &middot; Work in line with Maximus values, comply with the Maximus Code of Conduct, Guiding Principles and uphold ethical behavioral standards.
 
 
 &middot; Act at all times within the company policies and procedures.
 
 
 &middot; Create and maintain an environment of equal opportunity employment and diversity in support of Maximus&rsquo; commitment to diversity and inclusion.
 
 
 &middot; Comply with the Maximus security and privacy policies to ensure customer data, confidential data and personal information is always dealt with in a confidential and secure way, and our obligations around this are maintained.
 
 
 &middot; Carry out all duties in a safe and proper manner in accordance with the company&rsquo;s Health and Safety Policies.
 
 
 
 
 
 Knowledge
 
 
 
 
 
 &middot; Bachelor&rsquo;s degree (required) or Master&rsquo;s degree (preferred) in Data Science, Statistics, Mathematics, Economics, Computer Science, or related field.
 
 
 &middot; Strong understanding of statistical and analytical methodologies.
 
 
 &middot; In-depth knowledge of operational delivery contracts and performance management frameworks.
 
 
 &middot; Experience with large, complex data sets and multiple system integrations.
 
 
 
 
 
 Skills
 
 
 &middot; Advanced proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
 
 
 &middot; Experience with programming languages such as Python or R for advanced analysis.
 
 
 &middot; Strong communication and stakeholder engagement skills, including ability to influence decision-making.
 
 
 &middot; High level of attention to detail.
 
 
 &middot; Ability to communicate technical findings to non-technical stakeholders.
 
 
 &middot; Strong time management and organizational skills.
 
 
 &middot; Collaborative team player with the ability to work under pressure and meet deadlines.
 
 
 &middot; High-level problem-solving and strategic thinking capabilities.
 
 
 &middot; Proven ability to manage multiple priorities in a fast-paced, contract-driven environment.
 
 
 
 
 
 Experience
 
 
 &middot; 4&ndash;7+ years of progressive experience in data analytics, business intelligence, or applied data science roles.
 
 
 &middot; Proven track record of leading analytical projects from requirement-gathering to insight delivery.
 
 
 &middot; Experience in operational delivery contracts, performance monitoring, or service-level agreements (SLAs) highly desirable.
 
 
 &middot; Demonstrated expertise in developing and maintaining advanced dashboards, reporting frameworks, and predictive models.
 
 
 &middot; Prior experience working directly with senior stakeholders, translating business needs into data solutions.
 
 
 &middot; Exposure to data governance, compliance, and data quality assurance practices.
 
 
 &middot; Experience handling large, complex datasets, ideally across multiple operational.
 
</div>

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