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JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

SKILLS:

Mandatory Skills:

• Advanced Understanding of Adobe Analytics as an Architect or at the least Business Practitioner.
• Possess excellent analytical skills to understand the intricacies of the data and visualization.
• Advanced MS Excel skills.
• Good communication skills.
• Team Building & Handling

Desired Skills:

• Hands-on Visualization Tools like Tableau and Power BI.
• Must have understanding on Adobe DTM and Launch (Tag Management Systems).
• SQL – Basic.

 

What you’ll be responsible for:

• Monitor the site performance on a daily basis.
• Understand user behaviour and create actionable dashboards.
• Create and maintain daily/weekly/monthly reports.
• Analyse and Audit data to generate dashboards.
• Measure and report performance of marketing campaigns, gain insight and assess against goals.
• Hands-on knowledge with user behaviour tracking systems and methodologies.
• Identifying key needs or gaps and provide leadership to close those gaps.

 

Challenges (also responsible) you’ll be facing in the role:

-     Understand client requirement and create ad hoc reports/Recommendations.

• Provide meaningful insights from data to make operational and strategic decisions for clients.
• Strong Understanding of various technologies being used in the digital transformation space.
• Should possess Data Visualization skills to help build interactive reports.
• Independent and proactive self-starter.

About the company:

VakilSearch is a technology-driven platform, offering services that cover the legal needs of startups and established businesses. Some of our services include incorporation, government registrations & filings, accounting, documentation and annual compliances. In addition, we offer a wide range of services to individuals, such as property agreements and tax filings. Our mission is to provide one-click access to individuals and businesses for all their legal and professional needs.

 

You can learn more about us at https://vakilsearch.com/">vakilsearch.com.

About the role:

A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data analyst at VakilSearch.

 

Why to join Vakilsearch:

 

• Unlimited opportunities to grow
• Flat hierarchy
• Encouraging environment to unleash your out of box thinking skills

 

Responsibilities:

 

• Preparing reports for the stakeholders and the management, enabling them to take important decisions based on various facts and trends.
• Using automated tools to extract data from primary and secondary sources
• Identify and recommend the right product metrics to be analysed and tracked for every feature/problem statement.
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

 

Required skills:

 

• Bachelor’s degree from an accredited university or college in computer science or graduate from data science related program
• Minimum of 0 - 2 years experience in analysing

We are looking for a developer to design and deliver strategic data-centric insights leveraging the next generation analytics and BI technologies. We want someone who is data-centric and insight-centric, less report centric. We are looking for someone wishing to make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

 Requirements:

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

We are looking for a leader to design, develop and deliver strategic data-centric insights leveraging the next generation analytics and BI technologies. We want someone who is data-centric and insight-centric, less report centric. We are looking for someone wishing to
make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

we are hiring for valuelabs
Senior Software Engineer
MUST HAVE:
POWER BI with PLSQL
experience: 5+ YEARS
cost: 18 LPA
WHF- HYBRID

Technology Skills:

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

 

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

 

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

 

Required Skill Set: -5+ years of hands-on experience in delivering results-driven analytics solutions with proven business value - Great consulting and quantitative skills, detail-oriented approach, with proven expertise in developing solutions using SQL, R, Python or such tools - A background in Statistics / Econometrics / Applied Math / Operations Research would be considered a plus -Exposure to working with globally dispersed teams based out of India or other offshore locations Role Description/ Responsibilities: Be the face of LatentView in the client's organization and help define analytics-driven consulting solutions to business problems -Translate business problems into analytic solution requirements and work with the LatentView team to develop high-quality solutions "- Communicate effectively with client / offshore team to manage client expectations and ensure timeliness and quality of insights -Develop expertise in clients business and help translate that into increasingly high value-added advisory solutions to client -Oversee Project Delivery to ensure the team meets the quality, productivity and SLA objectives - Grow the Account in terms of revenue and the size of the team You should Apply if you want to: - Change the world with Math and Models: At the core, we believe that analytics can help drive business transformation and lasting competitive advantage. We work with a heavy mix of algorithms, analysis, large databases and ROI to positively transform many a client- business performance - Make a direct impact on business: Your contribution to delivering results-driven solutions can potentially lead to millions of dollars of additional revenue or profit for our clients - Thrive in a Fast-pace Environment: You work in small teams, in an entrepreneurial environment, and a meritorious culture that values speed, growth, diversity and contribution - Work with great people: Our selection process ensures that we hire only the very best, while more than 50% of our analysts and 90% of our managers are alumni/alumna of prestigious global institutions

Looking for Immediate JoinersAt LatentView, we would expect you to:- Independently handle delivery of analytics assignments- Mentor a team of 3 - 10 people and deliver to exceed client expectations- Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)You'll be a valuable addition to our team if you have:- 3 - 5 years of hands-on experience in delivering analytics solutions- Great analytical skills, detail-oriented approach- Strong experience in R, SAS, Python, SQL, SPSS, Statistica, MATLAB or such analytic tools would be preferable- Working knowledge in MS Excel, Power Point and data visualization tools like Tableau, etc- Ability to adapt and thrive in the fast-paced environment that young companies operate in- A background in Statistics / Econometrics / Applied Math / Operations Research / MBA, or alternatively an engineering degree from a premier institution.