7+ Advanced analytics Jobs in India

About the company

WonDRx (pronounced as Wonder-Rx) - spearheaded by two serial Entrepreneurs Mr. Pankaj Sindhu along with his Co-Founder Mr. Pankaj Agrawal; is a very unique and novel technology which has the capacity to change the way healthcare eco-system interacts with each-other. We are determined to change the way of Healthcare domain working and make it more convenient while ensuring a pleasant experience for the consumers and all other stakeholders involved. You need to see the product to believe the power it has and what it can enable in the healthcare domain.

Designation: Team Leader Data Analyst & Project Management

Job Description:

We are seeking a highly skilled and detail-oriented Team Leader- Data Analyst & Project to join our team. In this role, you will be responsible for extracting insights from raw data, preparing analytics reports, and overseeing data-driven projects from start to finish.

The ideal candidate should have a strong background in Advanced Excel, proficiency in various Business Intelligence (BI) tools will be an added advantage, and experience in follow up with various internal and external stakeholders related to ongoing projects.

Responsibilities:

•          Gather, clean, and validate raw data from various sources.

•          Develop and maintain efficient data management systems.

•          Apply advanced Excel techniques to manipulate and analyse data effectively.

•          Utilize BI tools to create insightful reports, visualizations, and dashboards.

•          Identify trends, patterns, and correlations in data sets.

•          Collaborate with cross-functional teams to understand their data needs and provide analytical support.

•          Present findings and recommendations to stakeholders in a clear and understandable manner.

•          Manage data-driven projects from initiation to completion, ensuring deliverables are met on time and within budget.

•          Maintain project plans, including timelines, resource allocation, and task assignments.

•          Monitor project progress, identify risks, and implement mitigation strategies.

•          Coordinate and communicate with team members, ensuring alignment and effective collaboration.

•          Prepare project status reports and deliver presentations to stakeholders.

•          Evaluate project outcomes and identify areas for improvement.

Requirements:

•          Master’s or Bachelor's degree with a relevant experience in coordinating Data Driven projects

•          Proficiency in Advanced Excel functions and formulas.

•          Knowledge of at least one Business Intelligence (BI) tool (e.g., Tableau, Power BI, QlikView) will be an added advantage

•          Excellent project management skills, including planning, organization, and prioritization.

•          Strong problem-solving and critical-thinking abilities.

•          Excellent communication and interpersonal skills.

•          Ability to work independently and manage multiple projects simultaneously.

•          Attention to detail and ability to work with complex datasets.

Preferred Skills:

•          Data Analysis: Candidate should have strong analytical skills which is crucial for a data analyst. You should be able to collect, organize, and interpret complex data sets to extract meaningful insights. Advanced Excel is a must.

•          Communication and Presentation: Data analysts should be able to effectively communicate their findings to both technical and non-technical stakeholders. You would need to effectively communicate with team members, stakeholders, and other project stakeholders. This includes written communication through project documentation and reports, as well as verbal communication for conducting meetings, providing updates, and resolving issues.

•           Continuous Learning: We are a constantly evolving startup. Ideal candidate should have willingness to learn new techniques, stay updated with the latest tools and technologies, and adapt to changing trends which is crucial for long-term success.

•           Team Player: You should be able to motivate and inspire team members, provide guidance, and facilitate decision-making processes.

•           Project Coordinator: As a project coordinator you should possess strong problem-solving and critical-thinking skills to identify issues, analyse root causes, and propose and implement appropriate solutions

About the Account Executive Role

The full-cycle Account Executive role turns inbound and outbound leads into long-last relationships. The Account Executive needs to have experience selling SEO services and a working knowledge of SEO and Digital Marketing. Below is a breakdown of the Account Executive Role. 

About Us

FirstPrinciples Growth Advisory is a premier digital marketing partner to help scale MQLs cost-effectively by identifying the right growth channel for your SaaS Business.

Role Break-Up

Lead Generation (25%)

The Account Executive will also be partly responsible for generating his/her leads. We expect to spend about 2 hours (about 70) dials making outbound calls using our CRM/day.

Nurturing New Leads/Pitch Cals (25%)

We expect between 1 to 2 Pitches scheduled daily from both inbound and outbound leads. Each Pitch takes 45 minutes to an hour, including following up with the next steps. This time is also spent working with our team to create the SEO Proposals and learning about the client before the call. 

Nurturing Existing Leads & Customers (25%)

Reach out for the next steps, follow up on leads, social selling, and do other things to be front and center with the client. 

Strategy (10%)

Analyzing results of past campaigns and tweaking future outreach campaigns and approaches. 

Coordination & Administrative(15%)

Updating templates, the CRM and coordinating with the team as required. Coordination with the Ops team

What is in it for you?

The earning potential for this role is high. SEO/PPC clients are recurring clients, and our retention rate is high. 

Requirements for the Account Executive Role

• 2 to 5 years of experience selling Digital Marketing Services
• Ability to conduct “Mini-Closes” in Succession
• Genuine customer empathy
• Organized and strong time management skills 
• Experience working with Ahrefs and doing fundamental SEO Analysis for client sites

Hi

Greeting from MNR

Urgent opening - Assistant Manager - Payroll & MIS

Skills - MIS Reporting, Excel Expert, Strong Analytics, Dashboard, Payroll

Location - Mumbai

Job Description -

Incumbent will be responsible for leading the entire portfolio of HR Payroll, Compensation & Benefits, HR analytics and reporting, administration support, HR compliances and HR data integrity management.

Responsible for the end-to-end process of Payroll, Comp & Ben and Monthly MIS reports.

HR dashboard creation for consumption by senior stakeholders including Management Committee reviews, HR leadership teams.
This process will involve consolidation of data from different HR teams, ensuring data hygiene, accuracy, timeliness of data inputs.
It will entail analysis and reporting critical HR metrics including Headcount, Attrition, Diversity, Recruitment etc., on a regular frequency (monthly/quarterly), along with servicing requests received from time-to-time from other relevant/senior stakeholders.
Leads the process on variable pay provisioning to provide an accurate estimate of the variable pay spends in the company.
Ensure accurate and timely processing of payroll updates including new hires, terminations, and changes to minimum wages.
Prepare and maintains accurate records and reports of payroll transactions.
Ensure compliance with statutory laws and best practices.
Facilitate audits by providing records and documentation to auditors. Identifies and recommends updates to payroll processing software, systems, and procedures.
Provide support on all compensation & benefits processes including but not limited to generation of increment and other compensation letters, calculations including maintenance of permanent & contractual salaries, benefits administration and policy updates, maintenance of relevant documentation across these processes, resolving any queries around benefits, creation and maintenance of master MIS files for leadership, transfer letters generation, calculation and disbursement related process of salaries etc.
Administer Query resolution related to payroll, PF, ESIC and full and final settlements.
Coordinate with external vendor/agencies to run the compliance process for unit HR.
Responsible for multiple MIS reports and Analytics regarding manpower, payroll and employee benefits with Standardization of reports for better decision making.
Verification & Reconciliation of monthly payroll, manpower, attrition data.
Work in close collaboration with the HR Operations team to ensure data integrity and process controls are instituted and maintained. Audits the quality of data and takes corrective actions with relevant teams including HRIT/ Shared services/ HRBP spocs/ COE spocs etc. from time to time to ensure reporting accuracy and quality are maintained.

Skills required
High proficiency in MS Excel skills. (High Excel skills with analytics is a must)
Ability to deal with large amounts of data and put structure to the same.
Experience in making dashboards, reporting and analysis.
Strong analytical and problem-solving skills.
Exposure to HR payroll systems, will be an added advantage.
Attention to detail and delivery excellence.
Timeliness, responsiveness, accuracy and process compliance.
Ability to work with a large number of stakeholders.

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