Corporate Sales Executive

Key Responsibilities 

Awareness Program Development 

Design and implement comprehensive security awareness initiatives tailored for large enterprise environments.

Develop and curate content for diverse audiences, including training materials, e-learning modules, infographics, newsletters, and videos.

Campaign Management

Plan and execute awareness campaigns focused on phishing, data protection, password hygiene, and other key cyber risks.

Coordinate annual Cyber Security Month initiatives and other themed awareness events.

Training & Workshops  

Conduct engaging, in-person or virtual training sessions for employees, management, and executive teams.

Develop specialized workshops for high-risk user groups, such as privileged users or finance teams.

Phishing Simulation Management 

Oversee the design and execution of phishing simulation campaigns.

Analyze and present results to stakeholders, identifying improvement opportunities.

Measurement & Reporting 

Track and report program effectiveness through metrics such as participation rates, phishing simulation scores, and user feedback.

Use data-driven insights to refine awareness strategies continuously.

Emerging Threat Communication

Stay informed about the latest cyber threats and trends, ensuring awareness programs address current and emerging risks.

Disseminate timely alerts and educational content related to ongoing threats (e.g., malware campaigns, scams).

Qualifications and Experience :

Proven experience in a cybersecurity role with a focus on security awareness and training in large enterprises.

Strong understanding of cybersecurity principles, best practices, and enterprise risk management.

Expertise in designing and executing phishing simulations and awareness campaigns.

Exceptional communication, presentation, and content creation skills.

Familiarity with compliance frameworks like GDPR, ISO 27001, and NIST Cybersecurity Framework.

Proficiency with awareness and training tools (e.g., KnowBe4, Cybersecurity LMS platforms).

Analytics Job Description

We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will

partner closely with leaders across the organization, working together to understand the how

and why of people, team and company challenges, workflows and culture. The team is

responsible for delivering data and insights that drive decision-making, execution, and

investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our

customer-facing teams enabling them with data and narratives about the customer journey.

You’ll also work closely with other data teams, such as data engineering and product analytics,

to ensure we are creating a strong data culture at Blend that enables our cross-functional partners

to be more data-informed.

Role : DataEngineer 

Please find below the JD for the DataEngineer Role..

  Location: Guindy,Chennai

How you’ll contribute:

• Develop objectives and metrics, ensure priorities are data-driven, and balance short-

term and long-term goals

• Develop deep analytical insights to inform and influence product roadmaps and

business decisions and help improve the consumer experience

• Work closely with GTM and supporting operations teams to author and develop core

data sets that empower analyses

• Deeply understand the business and proactively spot risks and opportunities

• Develop dashboards and define metrics that drive key business decisions

• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,

and Workato

• Design our Analytics and Business Intelligence architecture, assessing and

implementing new technologies that fitting

• Work with our engineering teams to continually make our data pipelines and tooling

more resilient

Who you are:

• Bachelor’s degree or equivalent required from an accredited institution with a

quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist

• Must have strong SQL and data modeling skills, with experience applying skills to

thoughtfully create data models in a warehouse environment.

• A proven track record of using analysis to drive key decisions and influence change

• Strong storyteller and ability to communicate effectively with managers and

executives

• Demonstrated ability to define metrics for product areas, understand the right

questions to ask and push back on stakeholders in the face of ambiguous, complex

problems, and work with diverse teams with different goals

• A passion for documentation.

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a

dynamic environment.

• A bias towards communication and collaboration with business and technical

stakeholders.

• Quantitative rigor and systems thinking.

• Prior startup experience is preferred, but not required.

• Interest or experience in machine learning techniques (such as clustering, decision

tree, and segmentation)

• Familiarity with a scientific computing language, such as Python, for data wrangling

and statistical analysis

• Experience with a SQL focused data transformation framework such as dbt

• Experience with a Business Intelligence Tool such as Mode/Tableau

Mandatory Skillset:

-Very Strong in SQL

-Spark OR pyspark OR Python

-Shell Scripting

Hiring For Field Sales

Must have experience in Home loan process

Immediate Joiner

working days 6 days

Rotational shift

Part time job.

Work on all Saturday for 6 hours.

Skills

Marg ERP software or any accounting software

Accounting and GST entries as per GSTR 1 and GST 3.

GST reconciliation

TDS reconciliation

Bank reconciliation

Manage end to end recruitment for internal hiring requirements from understanding the role, creating a JD ,job posting, filtering and screening of candidates, conducting interviews, coordination with candidates, verification and joining formalities.