Medical Representative - Sales

Job Title : Cognos BI Developer

Experience : 6+ Years

Location : Bangalore / Hyderabad (Hybrid)

Notice Period : Immediate Joiners Preferred (Candidates serving notice with 10–15 days left can be considered)

Interview Mode : Virtual

Job Description :

We are seeking an experienced Cognos BI Developer with strong data modeling, dashboarding, and reporting expertise to join our growing team. The ideal candidate should have a solid background in business intelligence, data visualization, and performance analysis, and be comfortable working in a hybrid setup from Bangalore or Hyderabad.

Mandatory Skills :

Cognos BI, Framework Manager, Cognos Dashboarding, SQL, Data Modeling, Report Development (charts, lists, cross tabs, maps), ETL Concepts, KPIs, Drill-through, Macros, Prompts, Filters, Calculations.

Key Responsibilities :

1. Understand business requirements in the BI context and design data models using Framework Manager to transform raw data into meaningful insights.
2. Develop interactive dashboards and reports using Cognos Dashboard.
3. Identify and define KPIs and create reports to monitor them effectively.
4. Analyze data and present actionable insights to support business decision-making.
5. Translate business requirements into technical specifications and determine timelines for execution.
6. Design and develop models in Framework Manager, publish packages, manage security, and create reports based on these packages.
7. Develop various types of reports, including charts, lists, cross tabs, and maps, and design dashboards combining multiple reports.
8. Implement reports using macros, prompts, filters, and calculations.
9. Perform data warehouse development activities and ensure seamless data flow.
10. Write and optimize SQL queries to investigate data and resolve performance issues.
11. Utilize Cognos features such as master-detail reports, drill-throughs, bookmarks, and page sets.
12. Analyze and improve ETL processes to enhance data integration.
13. Apply technical enhancements to existing BI systems to improve their performance and usability.
14. Possess solid understanding of database fundamentals, including relational and multidimensional database design.
15. Hands-on experience with Cognos Data Modules (data modeling) and dashboarding.

Job Overview: We are seeking a skilled QA Tester responsible for planning, designing, and executing tests on a variety of software products. The ideal candidate will have a keen eye for detail, strong analytical skills, and a passion for quality. As a QA Tester, you will work closely with the development team to identify and resolve defects, ensuring that our software meets the highest standards of quality before release.

Key Responsibilities:

• Test Planning: Collaborate with the development team to understand project requirements and create detailed test plans, test cases, and test scripts.
• Manual Testing: Execute manual test cases on web, mobile, and desktop applications to identify bugs, glitches, and usability issues.
• Automated Testing: Develop and execute automated tests using testing frameworks and tools (e.g., Selenium, JUnit).
• Defect Tracking: Identify, document, and track defects using bug-tracking tools (e.g., Jira, Bugzilla), and collaborate with developers to resolve issues.
• Regression Testing: Perform regression testing to ensure that new features and bug fixes do not adversely affect existing functionality.
• User Acceptance Testing (UAT): Support UAT efforts by working closely with end-users to validate that software meets business requirements.
• Performance Testing: Conduct performance and load testing to ensure software stability and scalability under various conditions.
• Test Documentation: Maintain comprehensive test documentation, including test cases, test scripts, and test summary reports.
• Continuous Improvement: Continuously improve testing processes and methodologies to increase efficiency and effectiveness.
• Collaboration: Work closely with developers, product managers, and other stakeholders to ensure a clear understanding of project goals and timelines.

Required Skills and Qualifications:

• Experience: 3-4 years of experience in software testing, including manual and automated testing.
• Proficiency in:
• Automated Testing: Hands-on experience with automated testing tools and frameworks such as Selenium, QTP, or Appium.
• Scripting: Ability to write and execute test scripts in languages such as Python, Java, or JavaScript.
• Manual Testing: Strong knowledge of software development life cycles (SDLC), testing methodologies, and test processes.
• Defect Tracking: Proficient in defect tracking and test management tools.
• Problem-Solving: Strong analytical and problem-solving skills with attention to detail.
• Communication: Excellent written and verbal communication skills for effective collaboration and reporting.
• Documentation: Ability to create clear, concise, and comprehensive test documentation.

Preferred Skills:

• Agile Methodology: Experience working in Agile/Scrum environments.
• Performance Testing: Knowledge of performance testing tools like LoadRunner or JMeter.
• Security Testing: Familiarity with security testing practices and tools.
• Continuous Integration: Experience with CI/CD pipelines and integrating testing into the development process.

Educational Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

What We Offer:

·        Competitive salary and performance based incentives.

·        Comprehensive benefits package, including health

·        Opportunities for professional growth and career advancement.

·        A collaborative and innovative work environment.

About the role:

• Department - Business Development
• Type of work - Full-time
• Location - Central Delhi (Onsite)
• Working days - 6 days a week

Your Responsibilities:

• Initiating telephonic conversations with candidates interested in Outscal’s programs
• Building solid relationships with potential customers in the pipeline.
• Determining the persona and providing solutions based on the pain points of the potential customers.
• Coordinating both pre-sales and post-sales follow-ups.

Must Haves:

• 0 to 1 year of full-time sales experience (ed-tech sales would be an added advantage) .
• Ability to work efficiently under high-pressure situations
• Familiarity with tech lingo.
• Solid English communication (both written and verbal)

Good to have:

• Street smart (gives equal weightage to hard work and smart work).
• Self-learning and self-initiating attitude with attention to detail.
• Fluency with excel/google sheets or related software.
• Ability to communicate complex products in the simplest of terms with relevant examples

Compensation & Benefits

This role comes with the following:

✔️ Competitive salary

✔️ Uncapped Incentives

Apply here - https://airtable.com/appBEBz0xf345jF0R/shrrxfzI2qPAIls1f

• Identify and prospect new business opportunities and generate sales leads

• Contact potential clients and promote the company's products and services

• Build and maintain strong relationships with exhibitors and sponsors

• Conduct market research and keep up-to-date with industry trends and developments

• Develop customized proposals and presentations for potential clients

• Negotiate contracts and close deals with clients

• Meet and exceed sales targets on a regular basis

• Attend industry events and exhibitions to network and build relationships

• Collaborate with other team members to ensure the smooth running of exhibitions

Location: MBFC / Command Center, Changi Business Park, Singapore

Duration: 12 Months Renewable Contract

Description

• We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.

Mandatory Skill(s)

• Degree in Computer Science, Business Information Technology or related disciplines;
• 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
• Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
• Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
• Good analytical skills with excellent communication; 
• Good in understanding internal processes and resolving issues;
• Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.

Desirable Skill(s)

• Prior experience in the banking industry;
• Experience in application implementation projects in financial institutions would be a great advantage.

Responsibilities

• Perform work in rotational shifts to provide 24/7 on-site or on-call support;
• Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications; 
• Responsible for the day-to-day maintenance of the application systems in operation;
• Handle Incident and Problem management;
• Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
• Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
• Involve with onsite and offshore teams across multiple technologies/applications;
• Lead formal and informal Post Event Problem Reviews;
• Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
• Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred