
Lead Generation Specialist
Summary:
As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.
Key Responsibilities:
Lead Identification:
- Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
- Utilize tools and software to gather and organize lead data effectively.
- Develop a deep understanding of our target audience and market segments.
Lead Nurturing:
- Initiate contact with leads through email, phone calls, and other communication methods.
- Engage with leads to understand their needs and challenges.
- Provide relevant information and resources to educate and nurture leads through the sales funnel.
Data Management:
- Maintain accurate and up-to-date records of lead interactions and status in CRM software.
- Segment and categorize leads for personalized outreach.
- Monitor lead data for quality and completeness.
Lead Qualification:
- Assess and qualify leads based on predefined criteria.
- Collaborate with the sales team to ensure seamless handover of qualified leads.
- Schedule appointments and product demonstrations for qualified prospects.
Reporting and Analysis:
- Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
- Analyze data to identify trends and opportunities for optimization.
Qualifications:
· Bachelor's degree in Marketing, Business, or a related field.
· Proven experience in lead generation, preferably in a B2B or technology-related industry.
· Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.
· Strong communication and interpersonal skills.
· Self-motivated with the ability to work independently and as part of a team.
· Excellent organizational and time management skills.
· Data-driven mindset with a focus on achieving targets and KPIs.

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Description
JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST
Key Responsibilities ·
Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·
Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·
Solid understanding of time-series forecasting techniques·
Good hands-on skills in both feature engineering and hyperparameter optimization·
Able to write clean and tested code that can be maintained by other software engineers·
Able to clearly summarize and communicate data analysis assumptions and results·
Able to craft effective data pipelines to transform your analyses from offline to production systems·
Self-motivated and a proactive problem solver who can work independently and in teams·
Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·
Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·
Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·
Lead discussions at peer review and use interpersonal skills to positively influence decision making·
Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·
Facilitate cross-geography sharing of new ideas, learnings, and best-practices
What We Are Looking For
Required Qualifications ·
Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·
4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·
Strong experience in Time Series Forecasting and Demand Planning ·
Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·
Good hands-on skills in both feature engineering and hyperparameter optimization ·
Experience producing high-quality code, tests, documentation·
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·
Proficiency in statistical concepts and ML algorithms·
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·
Self-motivated and a proactive problem solver who can work independently and in teams·
Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
Desired Qualifications ·
Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·
Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·
Experience in creating CI/CD pipelines for deployment using Jenkins. ·
Experience implementing MLOPs framework along with understanding of data security·
Implementation on ML models·
Exposure to visualization packages and Azure tech stack.
Must have skills
Python - 2 years
Data Science - 4 years
SQL - 2 years
Machine Learning - 2 years
Nice to have skills
Data Analysis - 4 years
Time Series Forecasting - 2 years
Demand Planning - 2 years
Hadoop - 2 years
Statistical concepts - 2 years
Supply chain functions - 2 years
The ideal candidate is a highly resourceful and innovative developer with extensive experience in the layout, design, and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language and MySQL Server databases.
Responsibilities
Perform a mix of maintenance, enhancements, and new development as required
Work in a data analyst role and with business intelligence applications
Document features, technical specifications & infrastructure Responsibilities
Work cross-functionally to convert business needs into technical specifications
Qualifications
1+ years of experience in web development and software design
Expertise in front-end technologies (HTML, JavaScript, CSS), PHP frameworks, and MySQL databases
Job Description:
As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:
Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.
Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.
Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.
Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.
Skills and Qualifications:
Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.
Proficiency in designing and developing data pipelines and ETL processes.
Solid understanding of data modeling concepts and database design principles.
Familiarity with data integration and orchestration using Azure Data Factory.
Knowledge of data quality management and data governance practices.
Experience with performance tuning and optimization of data pipelines.
Strong problem-solving and troubleshooting skills related to data engineering.
Excellent collaboration and communication skills to work effectively in cross-functional teams.
Understanding of cloud computing principles and experience with Azure services.
- Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
- programmatically ingesting data from several static and real-time sources (incl. web scraping)
- rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
- performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment
- Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
- Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
- Build data tools to facilitate fast data cleaning and statistical analysis
- Ensure data architecture is secure and compliant
- Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
- Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
You should be
- Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
- Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
- Expert in shell scripting and writing schedulers
- Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
- Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
- Strong knowledge of data security best practices
- 5+ years experience in a data engineering role
- Science / Engineering graduate from a Tier-1 university in the country
- And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep
Role: You need to sales the company software product services ( SaaS product ) over phone, email, and social touches to the corporate companies, it's B2B Sales role
- Experience: 1 to 3 Years
- Mandatory: Exp. in SaaS product sales
- Annual CTC: Up-to 6 LPA
- We are looking Immediate joiners (Not more than 30 days- Notice period, unless exceptional)
- It's an office work, we are not providing work from home facility
We are looking for a highly motivated Inside Sales Representative to help us grow revenue. We are on pace to double in size this year but need an increased flow of qualified leads for our inside sales team. This is an exciting opportunity for someone who is looking to start a sales career on the ground floor of an exciting software-as-a-service (SaaS) business.
Note: You need to sales the company software product services (SaaS product ) over phone, email, and social touches to the corporate companies, it's B2B Sales role
The Right Candidate Will:
- Qualify prospects based on their current business challenges and needs using targeted and relevant questions.
- Schedule discovery calls for our sales team.
- Be proficient at using a sales development platform to execute the outreach process consisting of phone, email, and social touches.
- Engage with prospects and demonstrate our SaaS product.
- Meet or exceed qualified lead/demos quota every month.
- Strive to continuously improve your sales development process and demonstrate a willingness to learn best practices.
- Update CRM on daily basis without any gap & provide reporting.
- Represent and demonstrate our company values, brand, and mission.
Top characteristics and traits for a successful:
- Ability to speak with CEOs, CFOs, Logistics Heads, Supply chain Heads, IT Heads, Business Heads, Controllers at early stage and growth businesses and ask intelligent questions.
- Genuine customer empathy
- Organized and possess strong time management skills.
- Excellent written & verbal communication
- Self-motivated with ability to work in fast paced, changing environment.
- A thirst for knowledge and growth in a start-up environment
- A sense of urgency and persistence
- 1-3 Years of sales development experience in SaaS Industry
Job Perks :
- Competitive salary and incentive bonus structure
- Opportunity to work in a fast moving, high growth SaaS company.
- Casual dress all-day, everyday
- Strong, results-oriented culture
Roles and Responsibilities
- You will be building and shipping robust apps to Android/ iOS devices using a single codebase.
- You will be writing readable and clear code using Dart that will be extensively documented for future use and upgrades.
- You will be sharing feedback and brainstorming ideas with teams to improve the development process.
- Understand basic concepts of design for developing user friendly applications.
- Stay up to date with the latest technologies.
Skills and qualifications
- Experience in development of Android/iOS applications and have deployed them on Google Play/App Store.
- 1+ years knowledge in mobile app development.
- In depth understanding of front end languages like HTML, CSS3 and JavaScript.
- In depth understanding of Object Oriented programming languages like Java and C++.
- Familiarity using version control tools like Git, Subversion etc. and IDEs like Android Studio, VS Code etc.
- Understanding of the Agile Software Development Life Cycle and been exposed to Scrum projects.
- Knowledge of Dart programming language, Rest APIs and integration of various APIs from third parties.
- Comfortable using test cases for debugging code, enhancing performance and reliability.
Required Candidate profile
- Ability to handle and build integration of mobile apps with third-party systems,
- developing Android and iOS apps
- using Flutter, Dart, Rest APIs, Angular, jQuery, Ionic
Perks and benefits
- 5 days working
- Flexible Office Hours
- Health Insurance
Job Description
Dyte provides developer friendly live video SDKs that allows you to easily add 1:1 calls, group calls and webinars right within your platform. Our low code approach and user friendly documentation means you are ready to go live with less lines of code. Dyte also offers plugins that allow developers to add real time applications like whiteboard, youtube player and AI applications such as background changer and live audio transcription with a couple of lines of code.
About the role:
Would you like to write technical documentation that helps people understand the technology that empowers Dyte’s SDKs? We are currently looking to expand our docs team with tech writers who can learn API skills and synthesise that understanding into resources that help our incredible community succeed with Dyte.
We are growing rapidly and need a tech writer who can help create a foundation of reference and learning material that will scale up with our broad user base. Dyte is used by Developers to add live video in their products. If supporting these developers sounds like the kind of challenge you’d like to tackle, apply to join us!
What You'll Do :
- Structure and write technical blogs relevant to Dyte and our customers.
- Work closely with our customers to create case studies.
- Work with the engineering team and write the content for our product release notes and monthly newsletter.
- Work with design team and create and review the content on product features for our website.
- Create product guides and manuals as necessary.
- Own the docs for your dedicated feature set—you’ll be responsible for documenting a specific area of Dyte's product and will drive all docs efforts around it.
- Plan documentation in conjunction with product release cycles—you’ll work with engineers and product managers to learn about a feature from specifications, user research, and most importantly through your own hands experimentation with the product.
- Carry out editorial reviews on your docs teammates’ drafts—you’ll be providing constructive feedback that helps your colleagues to grow, as well as receiving it.
- Deliver high-quality, accurate documentation that acts as an effective learning resource, aligns with content strategy guidelines, and represents Dyte’s product to community and customers.
- Liaise with stakeholders across the company to establish and address docs needs.
Who you are:
- 3+ years of experience working with B2B Saas, Dev tools, API first companies or open source projects as a technical writer.
- Problem solver—you take a broad view of the role your docs work plays within the organisation and are comfortable with shifting priorities.
- User empathy—maybe you’ve been involved in tech support, in a community or customer facing role, you’ve helped people learn tech skills, or you’ve sought user feedback on docs in the past.
- Strong communicator—you’ve written technical material before, whether official documentation or just your own tutorials on tech skills you wanted to share, and your communication skills carry over into the way you engage with teammates.
- Self-directed learner—you can pick up tech skills with minimum support and have a curiosity about learning development workflows and practices.
- Experience using and documenting SaaS products.
- Nice skills to have: Experience with the Docs as Code/Docs like Code approach to documentation, writing Markdown- based content, working in an Agile environment, and using source control systems, especially Git.
Our Perks:
- Competitive Salary
- ESOPs
- Medical Insurances
- Friendly leaves policy
- 100% Remote Option
Profile: PHP Developer
No of Positions: 6
Experience; Fresher to 3 Years
Skills: For Freshers : Php, Mysql, Jquery, Oops concepts shoul be clear
For Experienced: PHP, Laravel, C.I any Framework required
Salary: Best in Industry
Note: Internship with stipend will be provided for freshers
Working Days ; 5
Working Hours: 9 am to 6 Pm Flexible
Job Location ; Mohali Phase 8A, 8B
Work From Office
Job role:
We are looking for a tech-savvy Business Analyst, Pre-Sales Representative with an ability to do hands-on Sales. Your role will be to seek new business opportunities by contacting and developing relationships with potential customers. You will be speaking to Who's Who of the fintech world.
It is an added advantage if you have experience in developing leads from marketing campaigns and meeting sales quotas. You will be responsible for the entire sales cycle from establishing customer contact until signing a deal. You will also ensure proper after-sales service.
Job Location: Indore | Full Time | Experience: 0 to 6 years | Salary ∝ Expertise | Rs.1.8L ~ Rs.3L | Freshers allowed
About the company:
Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand. KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4
We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com
Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8
Responsibilities:
- This is not another Sales job, it involves Concept Selling too.
- Find customers for Products & Services provided by the company
- Contact potential clients via phone, emails, and LinkedIn
- Identify client needs and suggest appropriate products/services
- Customize product solutions to increase customer satisfaction
- Build long-term trusting relationships with clients
- Proactively seek new business opportunities in the market
- Directly report to the CEO
- Stay up-to-date with new products/services and new pricing/payment plans
- Keep an eye on the competition.
Requirements:
- Proven work experience as a Business Development Representative, Sales Account Executive or similar role
- Hands-on experience with multiple sales techniques (eg: inbound, outbound, field sales)
- Track record of achieving sales quotas
- Experience with CRM software, Online tools for effective sales
- Understanding of sales performance metrics
- Excellent communication and negotiation skills, Good Email writing skills
- Ability to deliver engaging presentations
- Degree in Marketing, Business Administration or relevant field.








