Inside Sales Executive

Job Summary:

Position : Senior Power BI Developer

Experience : 4+Years

Location : Ahmedabad - WFO

Key Responsibilities:

• Design, develop, and maintain interactive and user-friendly Power BI dashboards and
• reports.
• Translate business requirements into functional and technical specifications.
• Perform data modeling, DAX calculations, and Power Query transformations.
• Integrate data from multiple sources including SQL Server, Excel, SharePoint, and APIs.
• Optimize Power BI datasets, reports, and dashboards for performance and usability.
• Collaborate with business analysts, data engineers, and stakeholders to ensure data accuracy
• and relevance.
• Ensure security and governance best practices in Power BI workspaces and datasets.
• Provide ongoing support and troubleshooting for existing Power BI solutions.
• Stay updated with Power BI updates, best practices, and industry trends.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a
• related field.
• 4+ years of professional experience in data analytics or business intelligence.
• 3+ years of hands-on experience with Power BI (Power BI Desktop, Power BI Service).
• Strong expertise in DAX, Power Query (M Language), and data modeling (star/snowflake schema).
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Experience in working with large and complex datasets.
• Experience in BigQuery, MySql, Looker Studio is a plus.
• Ecommerce Industry Experience will be an added advantage.
• Solid understanding of data warehousing concepts and ETL processes.
• Experience with version control tools such as Power Apps & Power Automate would be a plus.

Preferred Qualifications:

• Microsoft Power BI Certification (PL-300 or equivalent is a plus). Experience with Azure Data Services (Azure Data Factory, Azure SQL, Synapse).
• Knowledge of other BI tools (Tableau, Qlik) is a plus.
• Familiarity with scripting languages (Python, R) for data analysis is a bonus.
• Experience integrating Power BI into web portals using Power BI Embedded.

- Responsible for promoting and selling memberships to potential new clients - Walk-ins/Trials

-Responsible for achieving the target by driving conversion

-Responsible for Upselling

-Should maintain a record of every interaction with new user

-Should enter all details of customers, walk-ins on internal tools

-Managing center experience and incremental enhancements

-Timely Opening and Closing of the center

-Inventory management: Ensure inventory of essentials, supplies and equipment, responsible for

both stocking and re-ordering (first-aid, stationary, water, towels etc.)

-Managing classes and workouts

-Ensuring the punctuality of trainers and classes

-Handle issues with respect to attendance, equipment and space availability

-Customer interactions and troubleshooting

-Interact with walk-ins and prospective clients

-Improving member attendance through meet and greet, familiarity building and creating a

welcoming atmosphere

-Take feedback from members and partners about classes and document the same

-Handle issues that may lead to consumer experience during or pre/post-class

-Center facility audits and inputs

-Ensure that we do daily audits of the center and facility including all supplies and essentials

-After 12 Months of consistent performance, the Consultant shall be eligible for a conversion to Full

Time employment.

Desired Background

-A Bachelor’s degree

-0-2 years of work experience

-Passion for fitness and healthy living

-People management skills

-Good Communication skills (Proficiency in English)

-Customer centrism

-Positive attitude

-Ability to resolve conflict

-Eagerness to learn

How does your work impact the team’s success?

Providing consistent great customer experience creates long-lasting relationships with our users &

members, We're able to #makehealtheasy for these customers at an unprecedented scale.

What is in it for you?

You get an end-to-end view of a business or product. You will play an active role in interacting with

customers, trainers and cluster managers which will provide continuous learning in these areas and

enable you to transition into roles where you can lead one or more of these charters.

Website: https://www.cult.fit/

Linkedin: https://www.linkedin.com/company/cult.fit/

• Leading the dev team for Floor.bz (virtual Event SAAS Platform Team)
• Planning, estimation, database designing, wireframing, layout designing of assigned project and other ongoing projects in team with Product Manager
• Handling coding works or major/ complex parts of assigned projects and providing coding help and supervision to team members
• Maintaining and auditing code/ design quality as per set guidelines and standards in assigned projects
• Testing of completed tasks in ongoing projects in team before sending updates to reporting authority/client
• Removing the technical impediments
• Focusing the team to ensure an on-time delivery of the agreed task
• Reporting progress to the Product Manager
• Facilitating code/ design reuse
• Training and mentoring of team members
• Maintaining skill set matrix of the team

Desired Candidate Profile

• 3+ Years development skills in UI /UX Frontend / Backend Knowledge
• Expertise in JS/ React Js/ Api’s
• Excellent programming and logical skills
• Knowledge on Angular Js/ Vue Js
• Excellent knowledge of HTML5, CSS3, PHP, MySQL
• Excellent knowledge of Javascript, Jquery
• Excellent knowledge of OOP programming style and Event Driven Architecture
• Knowledge of version control systems like GIT is also required
• Experience in building sites to function cross-platform and cross-browser
• Exposure of managing a team of at least 2-4 software developers
• In-depth understanding of the entire web development process (design, development and deployment)
• Willingness to build career in SAAS/ Video Tech Domain

Roles and Responsibilities: -

• Manage the recruitment and selection process.
• Develop and implement HR strategies and initiatives aligned with the overall business strategy.
• Bridge management and employee relations by addressing demands, grievances, or other issues.
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Ensure legal compliance throughout human resource management.

         - Tie up with corporates via Email, callings etc. for placements 

Desired Candidate Profile: -

• Proven working experience as  HR Executive.
• People oriented and results driven.
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company.
• In-depth knowledge of labor law and HR best practices
• Degree in Human Resources or related field

          Performance based appraisal.

Skills and Qualifications

• Diploma /Bachelor’s degree / Masters in human resources
• 1+ years in human resources or recruitment
• Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset.
• Adept to problem-solving and conflict resolution
• Extensive knowledge of HR policies and systems
• Familiarity with HR software and working knowledge of MS Office.

           Self Motivated, Time Management and sincere 

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.