30 Statistical Analyses Jobs - Page 2

Technical Competency: - Play a key role to solve complex problems, pivotal to Valentas business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Partner with team members and clients to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Work with customer centric mindset to deliver high quality business driven analytic solution Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans Professional Competency: - Drive data-derived insights across a wide range of divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiative. Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms Apply your semantic, natural language processing and understanding expertise where required Productionize the models and make those available at scale Build and maintain end to end Machine Learning pipelines Be comfortable with ambiguity and uncertainty and the eagerness to change the world in a huge way by being a self-motivated learner and builder Communicate recommendations to business partners and influencing future plans based on insights Qualifications and Experience: Bachelor's/ Master's degree in Statistics, Mathematics, Computer Science or a related field and 3 years' experience in an analytics/DS related field. High proficiency in data mining, modelling, validation and insight generation. Excellent working knowledge of statistics, mathematics, machine learning, data mining, deep learning High proficiency in coding, including Python, Java and SQL Experience with databases (for example, DB2, Oracle, SQL Server) Experience with Big Data technologies such as Pig, Hadoop , Hive and/or Spark Exposure to Statistical Toolkits such as R, Weka, MATLAB etc. Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred Deep learning frameworks such as TensorFlow, Keras, Torch Understanding/experience with the Google Cloud Platform/AWS/Azure Proven ability to collaborate and work in teams Excellent with communications and stakeholder engagement Data science publications in recognized platforms/journals Proven ability to work in agile mode on data science sprint projects Benefits: Opportunity to work directly with Valenta's clients across North America and Europe, Middle East, Australia, and New Zealand and gain immense exposure and knowledge expansion in your field of interest International travel opportunities to directly meet with global clients, provide on-site solutions, and represent the company at various industry events and conferences. Flexible working options Professional development training programs offered as part of career growth Experience fantastic culture & sense of purpose

Overview: We are seeking a dedicated HR Analytics Specialist to join our HR team and contribute to the success of our HR operations. The candidate will be responsible for analyzing HR data and metrics to support decision-making, improve HR processes and enhance employee experience. This role will involve using data-driven insights to help the organisation maintain an efficient and productive workforce, essential for driving the mission of our company. Key Responsibilities: HR Data Management & Analytics: Collect, organize and maintain accurate employee data, including performance metrics, attendance, turnover and recruitment records. Ensure data integrity and compliance with internal and external reporting requirements. Gather and consolidate data from various HR systems (e.g., Payroll, attendance, performance evaluations). Prepare periodic reports on employee demographics, turnover, retention and other HR KPIs. Assist in developing dashboards for HR leadership to monitor key metrics. Conduct detailed analysis of key HR metrics such as attrition rates, employee engagement, recruitment effectiveness and productivity. Prepare regular and ad-hoc HR reports for management, including dashboards on recruitment, turnover and employee performance. Analyse trends in workforce performance, recruitment, and retention. Track and report on recruitment success rates, offer acceptance rates and employee satisfaction scores. Provide insights on employee engagement, absenteeism and turnover. Recruitment Analytics: Track recruitment KPIs (e.g. Time-to-hire, cost-per-hire, offer acceptance rates). Analyse hiring trends and provide recommendations for optimising recruitment processes. Provide data-driven recommendations to improve recruitment strategies. Analyse the reasons for employee attrition and suggest strategies for retention. Collaborate with the recruitment team to identify trends in sourcing channels and candidate profiles. Employee Retention & Engagement: Monitor and analyse employee engagement survey results, exit interviews and retention data. Provide data-driven recommendations for improving employee satisfaction and reducing attrition, especially in branch and field roles. Utilise predictive analytics to identify potential areas of improvement in staffing, attrition, and employee engagement. Forecast workforce needs based on business expansion plans, seasonal needs and attrition trends. HRIS & Systems Management: Work closely with the HR team to ensure effective use of HR Information Systems (HRIS) and HRMS (HROne) Participate in the implementation and maintenance of HR software to streamline HR processes and improve data accuracy. Workforce Planning & Optimization: Assist in forecasting staffing needs based on business growth, market trends, and internal data. Collaborate with HR and Operations teams to design strategies that optimize workforce performance, especially in the field offices. Compliance & Audit: Ensure that all HR analytics processes comply with regional labor laws and company policies. Support audit processes with relevant HR data and reports. Ensure compliance with data privacy regulations in handling sensitive employee data. Work closely with the compliance team to ensure that all HR analytics activities adhere to legal standards. Training and Development Analytics: Analyse training program outcomes and recommend improvements based on employee performance data. Monitor the impact of development initiatives on employee productivity and career progression. Cross-functional Collaboration: Work with other departments to integrate HR data with business operations and overall company performance. Preferred candidate profile: Masters Degree in Human Resource Management (MBA/MA/MSc/PGDM) SHRM Certified Professional (SHRM-CP) and Senior Certified Professional (SHRM-SCP) for Human Resource Management. 1+ years of experience in HR analytics, workforce data management or a related role preferably within the microfinance or financial services industry. Proficiency in HRIS (preferably HROne or other relevant systems) and analytics tools such as Excel, Power BI or Tableau. Strong analytical skills with the ability to interpret complex HR data and provide actionable insights. Familiarity with microfinance operations or the financial sector will be an added advantage. Excellent communication skills and ability to work in cross-functional teams. Perks and benefits: Up to 12 lakhs CTC (INR) per annum.

Responsible for taking the data, analysing results using reports,work with Excel and SQL to extract, clean, and analyse data to support decision-making processes Interested candidates can share CV at maanvi.pahuja@cygnusad.co.in

Seeking a precise executive for industry, market, financial research also trend analysis, report creation, stakeholder engagement, mentoring. Proficiency in Excel, SQL, Tableau, Power BI with strong financial modeling ,valuation skills required.

Key Responsibilities: Oversee in-process quality control and ensure adherence to approved standards. Conduct process approvals and validate manufacturing operations. Perform root cause analysis (RCA) & corrective/preventive actions (CAPA) for quality issues. Utilize 7QC tools for data analysis and problem-solving. Develop and maintain PFMEA, control plans, and standard work procedures . Ensure accuracy in Measurement System Analysis (MSA) & Statistical Process Control (SPC) . Implement process improvements to reduce defects and enhance quality . Collaborate with cross-functional teams to drive quality initiatives. Monitor supplier quality and support audits as per ISO/IATF 16949 standards. Maintain detailed documentation and reporting for quality performance metrics.