Workday Technical Consultant

Test Automation Engineer Job Description

A Test Automation Engineer is responsible for designing, developing, and implementing automated testing solutions to ensure the quality and reliability of software applications. Here's a breakdown of the job:

Key Responsibilities

- Test Automation Framework: Design and develop test automation frameworks using tools like Selenium, Appium, or Cucumber.

- Automated Test Scripts: Create and maintain automated test scripts to validate software functionality, performance, and security.

- Test Data Management: Develop and manage test data, including data generation, masking, and provisioning.

- Test Environment: Set up and maintain test environments, including configuration and troubleshooting.

- Collaboration: Work with cross-functional teams, including development, QA, and DevOps to ensure seamless integration of automated testing.

Essential Skills

- Programming Languages: Proficiency in programming languages like Java, Python, or C#.

- Test Automation Tools: Experience with test automation tools like Selenium,.

- Testing Frameworks: Knowledge of testing frameworks like TestNG, JUnit, or PyUnit.

- Agile Methodologies: Familiarity with Agile development methodologies and CI/CD pipelines.

📢 Immediate Joiners Only: You should be ready to start tomorrow!

Are you passionate about human behavior and using psychological insights to build high-performing, value-driven teams?

NoisyLion is looking for an experienced Psychologist (Talent Acquisition) who can bring a scientific, data-driven, and empathetic approach to our recruitment processes.

This is a strategic role for someone who blends psychology and recruitment to build impactful and inclusive hiring practices.

Key Responsibilities

• Design and implement behavioral and cognitive assessment frameworks for role fitment and candidate potential.
• Create and manage psychometric and behavioral tests to evaluate competencies, personality, decision-making, and workplace behavior.
• Use data and psychological tools to measure and improve cultural fit and reduce hiring bias.
• Enhance candidate experience by integrating empathy and human-centric communication into the hiring journey.
• Drive initiatives to increase offer acceptances and reduce drop-offs by studying candidate motivations and triggers.
• Partner with department heads and hiring managers to make informed hiring decisions based on both behavioral insights and business needs.
• Contribute to diversity, equity, and inclusion by designing unbiased, inclusive evaluation frameworks and interview strategies.

Qualifications & Skills

• Bachelor’s or Master’s in Organizational Psychology, I/O Psychology, Human Resources, or Behavioral Science.
• 4–8 years of experience in Talent Acquisition, HR, or People Strategy with strong expertise in psychology-based assessments.
• Skilled in psychometric testing, behavioral interviews, candidate profiling, and evaluation techniques.
• Strong analytical, communication, and stakeholder management skills.
• Deep understanding of human behavior, workplace dynamics, and team building.
• Bonus: Experience working with international or creative teams is a plus.

Recruitment Process

1. Resume + Portfolio Screening
2. Attention to Detail Test (30 Mins)
3. Creative Assignment (4 Hours)
4. Final Interview
5. Offer Letter

About NoisyLion

We help international brands & creative agencies build remote creative teams 10X faster.

If you're looking for a team that values collaboration, inclusivity, creativity, and growth, then NoisyLion is your place to be.

Why You’ll Love Working Here:

• International clientele
• Inclusive and flexible work culture
• Best-in-class hiring processes
• Unique learning & career growth
• 5-day work week with adaptive hours.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Industry: Recruitment & Staffing (must have)

Required Experience and Qualifications:
- 2 years of experience
- Should have sold/is selling recruitment/talent/staffing/workforce solutions
- Hands-on experience in sales, business development, B2B, lead generation, telephone & email prospecting, corporate sales, market mapping & research, cold calling, appointment generation, etc
- Passionate about making talent acquisition cognitive
- New customer acquisition
- Ready to learn and unlearn

Benefits: Paid holidays, work detox leaves, menstruation leaves for women, robust incentive plans, education allowance, mobile reimbursement, etc.

Key Tasks and Duties:
- Prospecting for new clients/lead generation
- End-to-end B2B selling
- Monthly and annually new client acquisitions
- Direct communication with customers via e- mail and telephone to promote Reed & Willow & its Service Range
- Execute marketing plan/marketing campaigns (e.g. targeted e- shot, mail shot)
- Follow up and qualify contacts from web registrations, promotions, events, and other marketing and sales activities
- Preparation and presentation of results from campaigns
- Setting up Sales Meetings with qualified prospects
- Recording of all sales activities in the CRM- Market research feedback

Traits of our Team:
Motivation and drive: 
- Is driven and enthusiastic, which encourages commitment from others
- Responds positively to problems and uses them as an opportunity to do things differently or better

Planning and organizing: 
- Structures work to achieve the best outputs
- Anticipates and adjusts for problems and roadblocks, taking responsibility for prior commitments

Delivering results and continuous improvement:
- Is flexible and able to revise the plan when needed
- Analyses issues or set- backs without bias, and is open about mistakes to encourage learning
- Meets targets and deadlines