data analytics

Agency Partner Interactive

We are looking for an experienced Data Analyst with at least 5 years of expertise in business intelligence, data visualization, and analytics. The ideal candidate will be skilled in SQL, Snowflake, Tableau, and Power BI to design, develop, and maintain impactful dashboards and analytics solutions that support business decision-making.Key Responsibilities: <ul><li>Design, develop, and maintain advanced dashboards and reports using Tableau and Power BI.</li><li>Write complex SQL queries and optimize database performance for analytics solutions.</li><li>Work with Snowflake and other data warehousing technologies to ensure scalable and reliable data solutions.</li><li>Partner with cross-functional teams to understand business requirements and deliver actionable insights.</li><li>Develop and implement data models, ensuring accuracy and consistency across reports.</li><li>Analyze large datasets, identify trends, and provide recommendations to drive business strategies.</li><li>Ensure data quality, validation, and accuracy of reports.</li><li>Continuously improve user experience for BI tools and analytics platforms.</li></ul>Qualifications: <ul><li>Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related field.</li><li>Minimum 5 years of experience in data analytics, BI development, and dashboard creation.</li><li>Strong expertise in SQL with knowledge of query optimization and performance tuning.</li><li>Hands-on experience with Snowflake or other cloud data warehouse solutions.</li><li>Proficiency in Tableau and Power BI for creating dashboards and visualizations.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred Skills: <ul><li>Experience in data modeling and ETL processes.</li><li>Familiarity with other data warehousing tools (e.g., Redshift, BigQuery).</li><li>Knowledge of ing languages (Python or R) for data analysis is a plus.</li><li>Experience working in a fast-paced and cross-functional environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What are your current &amp; gross salary expectations, and is it negotiable?</li><li>If hired, what would be your notice period, and is there any possibility of an early joining date?</li><li>Have you worked with international clientele and their projects? If so, can you share your experience?</li><li>Why are you considering leaving your current role, or why did you leave your previous company?</li><li>Please provide your email address for further communication:</li><li>Which time slot do you prefer: 3:00 PM to 12:00 AM or 5:00 PM to 2:00 AM?</li></ul>Work Location: In person

Data Analytics

FAZO SOFTWARE

CVData Analytics Mentor / Part-time TrainerPosition: Data Analytics Mentor / Trainer (Part-time)Experience Required: 4+ years of real-time professional experience in Data AnalyticsLocation: [Specify &ndash; Onsite/Remote/Hybrid]Availability: Weekends &amp; Part-time basisAbout the Role:We are looking for an experienced Data Analytics professional to join as a Mentor/Trainer. The ideal candidate will have hands-on industry experience and a passion for guiding learners through practical concepts and real-time project scenarios. Prior training experience will be considered a strong advantage.Key Responsibilities:<ul><li>Conduct interactive training sessions on Data Analytics tools, technologies, and concepts.</li><li>Mentor learners in understanding real-world case studies, projects, and best practices.</li><li>Develop and deliver curriculum content, assignments, and assessments.</li><li>Provide guidance on career pathways, industry applications, and interview preparation.</li><li>Stay updated with the latest industry trends and integrate them into training.</li></ul>Required Skills &amp; Experience:<ul><li>Minimum 4+ years of professional experience in Data Analytics.</li><li>Hands-on expertise in tools such as SQL, Excel, Power BI/Tableau, Python (Pandas, NumPy, Matplotlib/Seaborn).</li><li>Strong knowledge of data cleaning, visualization, reporting, and business problem-solving.</li><li>Exposure to real-time analytics projects and industry use cases.</li><li>Excellent communication and presentation skills.</li><li>Prior training/mentorship experience is an added advantage.</li></ul>Nice to Have (Optional):<ul><li>Knowledge of Machine Learning basics.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Certification(s) in Data Analytics or related fields.</li></ul>Work Schedule &amp; Compensation:<ul><li>Part-time role, with focus on weekend sessions.</li><li>Flexible working hours during weekdays (if available).</li></ul>Kindly Share Your CV: +91 - 6374808456Job Types: Part-time, FreelancePay: Up to &#8377;10,000.00 per monthExpected hours: No more than 3 per weekBenefits:<ul><li>Flexible schedule</li><li>Work from home</li></ul>Work Location: Remote

Data Analytics mentor

QinetiQ

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div> 
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div> 
Why Join QinetiQ US?</div><div></div><div> 
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a highly skilled Data Analytics Subject Matter Expert (SME) responsible for leading advanced data analysis and business intelligence initiatives with a federal law enforcement agency client. You will drive data-driven decision making to ensure I.T. systems meet the operational and reporting needs of each field office and agency HQ leadership, and all stakeholders. You will leverage your expertise in advanced analytics, data modeling, and business intelligence to support the prioritization of I.T. solutions and optimize the development and modernization of technologies in support of agency objectives. You will work with enterprise tools including Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, and advanced SQL to extract insights from complex datasets and provide strategic recommendations to leadership.</div>
Responsibilities:
<div>
The ideal candidate will have ten or more years with the following experience in a position(s) of progressively increasing maturity and responsibility:</div><ul><li>
Lead and facilitate data-driven meetings, working sessions, and executive briefings</li><li>
Design and conduct advanced data analysis to support IT investment decisions and operational requirements</li><li>
Perform complex data modeling and statistical analysis using all forms of structured and unstructured data, providing strategic recommendations based on findings</li><li>
Lead training and mentoring of team members in advanced analytics processes, tools, and methodologies</li><li>
Oversee data governance, quality assurance, and integration across agency systems</li><li>
Coordinate and lead data calls for IT performance metrics and operational reporting</li><li>
Develop and maintain executive dashboards and reporting using Power BI, Tableau, advanced Excel, and PowerPoint presentations</li><li>
Review and develop data governance frameworks and analytical standards to ensure alignment with agency and federal requirements</li><li>
Design, recommend, and implement data-driven process improvements and analytical solutions</li><li>
Serve as the primary data analytics consultant for IT modernization initiatives</li><li>
Maintain the highest standards of analytical rigor and attention to detail</li></ul> 
<div></div>
Required Qualifications:
<ul><li>Experience in Data Analysis, Statistics, Computer Science, Information Technology, or related quantitative field with specialized experience in data analytics, business intelligence, or advanced statistical analysis within federal agencies, preferably in law enforcement or homeland security environments</li><li>
Expert-level experience in advanced analytics and business intelligence - including predictive modeling, statistical analysis, data mining, machine learning applications, and translating complex analytical findings into actionable business recommendations for IT strategy and operations</li><li>
Advanced proficiency in enterprise analytics platforms and programming - including mastery of Databricks, Tableau, Qlik, Python/R programming, advanced SQL, Oracle databases, and experience with cloud analytics platforms (AWS, Azure) and big data technologies</li><li>
Deep understanding of federal IT performance measurement and data governance - including experience with IT portfolio analytics, cybersecurity metrics, operational performance indicators, and compliance reporting requirements specific to law enforcement and immigration enforcement operations</li><li>
Exceptional analytical leadership and communication skills - with proven ability to present complex analytical findings to C-level executives, lead cross-functional analytics initiatives, mentor junior analysts, and drive data-driven decision making across diverse stakeholder groups including AOR and ERO leadership</li><li>
Degree and 10+ years of relevant Data experience</li><li><h1 class="jobSectionHeader">
Security Requirements</h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul></li></ul> 
<div></div>
Company EEO Statement:<div></div><div> 
Accessibility/Accommodation:</div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div> 
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Analytics SME

Skillspark The Finishing School

Job Title: Data Analytics TrainerJob Type: Full-timeJob Summary:We are seeking an experienced Data Analytics Trainer to design and deliver high-quality training programs in data analytics. The ideal candidate will have strong expertise in data analysis tools and techniques and be able to communicate complex concepts in an engaging and accessible way.Key Responsibilities:1. Design and develop training programs in data analytics2. Deliver training sessions to students or professionals3. Teach data analysis tools and techniques, such as Excel, SQL, Python, R, Tableau, Power BI, etc.4. Develop and maintain training materials, including presentations, handouts, and exercises5. Assess student progress and provide feedback6. Stay up-to-date with industry trends and developments in data analyticsRequirements:1. Strong expertise in data analytics tools and techniques2. Experience in teaching or training3. Excellent communication and interpersonal skills4. Ability to design and develop engaging training programs5. Strong analytical and problem-solving skillsPreferred Qualifications:1. Master's degree in a relevant field2. Certification in data analytics or a related fieldFreshers with excellent excel skills are also encouraged to apply.Job Types: Full-time, PermanentPay: &#8377;20,000.00 - &#8377;25,000.00 per monthBenefits:<ul><li>Cell phone reimbursement</li></ul>Work Location: In person

Data Analytics Trainer

Data Analytics TrainerJob Summary:We are seeking a qualified Data Analytics Trainer to design and deliver training programs in data analytics.Key Responsibilities:1. Develop and deliver training sessions on data analytics tools and techniques2. Teach data analysis using tools like Excel, SQL, Python, Power BI and Tableau3. Assess student progress and provide feedback4. Stay updated on industry trends in data analyticsRequirements:1. Strong expertise in data analytics2. Teaching or training experience3. Excellent communication skills4. Ability to design engaging training programsPreferred Qualifications:1. Master's degree in a relevant field2. Certification in data analyticsFreshers with excellent excel skills are also encouraged to applyJob Types: Full-time, PermanentPay: &#8377;20,000.00 - &#8377;25,000.00 per monthBenefits:<ul><li>Cell phone reimbursement</li></ul>Work Location: In person

Cokonet

Cokonet is looking for a dynamic and skilled Data Analytics Trainer to join our team in Trivandrum. The trainer will be responsible for delivering high-quality offline sessions that combine theoretical knowledge with hands-on practice, enabling learners to build strong, industry-ready expertise in Data Analytics.Key Responsibilities<ul><li>Deliver comprehensive classroom training sessions on Excel, SQL, Power BI, and Python for data analytics.</li><li>Design and update course content, including lesson plans, exercises, case studies, and projects.</li><li>Guide learners through practical applications such as data cleaning, transformation, visualization, and analysis.</li><li>Support learners in developing mini-projects and a final capstone project.</li><li>Provide regular feedback, mentorship, and doubt-clearing sessions to ensure student success.</li><li>Stay up to date with the latest trends and tools in Data Analytics and AI.</li><li>Collaborate with the academic and operations team to ensure smooth training delivery.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Data Science, or related field.</li><li>Proven experience as a Data Analyst, Data Scientist, or Trainer (1&ndash;3 years minimum preferred).</li><li>Strong expertise in:</li><li>Excel (advanced formulas, pivot tables, Power Query)</li><li>SQL (queries, joins, subqueries, aggregations)</li><li>Power BI (data modeling, DAX, dashboards, visual storytelling)</li><li>Python (Pandas, NumPy, Matplotlib, Seaborn; exposure to AI/ML basics is a plus)</li><li>Excellent communication, presentation, and mentoring skills.</li><li>Ability to explain complex concepts in a clear, simplified manner.</li></ul>What We Offer<ul><li>Opportunity to train and mentor aspiring professionals in one of the fastest-growing fields.</li><li>A collaborative and supportive work environment.</li><li>Competitive compensation with growth opportunities.</li><li>Platform to design and deliver impactful training programs.</li></ul>Job Type: Full-timePay: &#8377;18,000.00 - &#8377;25,000.00 per monthApplication Question(s):<ul><li>Are you willing to work from office in Trivandrum? </li><li>Are you available to join in one week? </li></ul>Experience:<ul><li>Data Analytics: 1 year (Required)</li></ul>Language:<ul><li>English and Malayalam (Required)</li></ul>Willingness to travel:<ul><li>50% (Preferred)</li></ul>Work Location: In person

Fortray Global Services LTD

<div>Job Description
About Us:
With over two decades of expertise, Fortray excels in IT Recruitment, Training, and Services. As IT Recruiters, we connect top talent with global opportunities in the digital technology sector, offering contract, temporary, and permanent placements across various industries, roles, salaries, and locations. Our specialized teams ensure your recruitment or job search benefits from seasoned experts who deeply understand your sector. Fortray is also a global online boot camp, helping career changers gain vital digital skills in just four weeks, opening doors to lucrative tech careers.
Our rigorous curriculum covers cybersecurity, Cloud computing, Data analytics, Coding, Project Management, DevOps, AI/ML, and more. Practical, hands-on learning and mentorship from industry experts result in a remarkable 95% placement rate. With over 1,000 monthly live classes, real-world projects, and extensive resources, Fortray stands out. Our mentorship program, flexible schedules, and 1:1 career coaching guide your success. Join 1,000+ satisfied graduates on their journey to tech careers through Fortray.
Additionally, as a Managed Service Provider (MSP), we offer global managed IT services, including cybersecurity, cloud solutions, and IT consultancy, tailored to businesses of all sizes, emphasizing user centricity from consultation to ongoing support, ensuring seamless technology operations.
Purpose of the Job &ndash; Overview
Job Title: Data Analytics Trainer
Type: Remote
Timings:
Monday to Saturday 9 AM to 6 PM UK Hours
Job Responsibilities<div>
. Creating Tasks and projects in the Data and business analyst Candidates and arranging workshops 
 
<ul><li>Research and Development in the Data and Business Analytics Fields to get the job.</li></ul> 
<ul><li>Meeting with the Candidates using the team during the weekdays and weekends (Saturday only)</li></ul> 
<ul><li>Reporting to the Team Management about the new development in the Data and Business Analytics</li></ul> 
<ul><li>Reviewing the submitted assignment by the Candidates and providing valuable feedback to the team.</li></ul></div>
Education Details.
. Bachelors in data science or relevant</div>

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