CAREER

We are a small team of professionals that enjoy our time together and we believe that every opinion counts, so we are looking for smart people that are fun to work with.

 

Our Sales Development Manager will be responsible for building and operating the new business generation process to create new opportunities and revenues.

The chosen one needs to be highly motivated, independent, and a team player with the ability to plan and execute a growth strategy, manage a budget, and carry a quota. 

 

This is a part-time/self-employment position, based in Tel-Aviv, working remotely is an option.

Please send your CV to office@iknowlogy.com

 

Responsibilities:

  • Implement methodologies, create infrastructure, and best practices for inbound and outbound sales development.
  • Refine the sales pitch and process to achieve optimum results.
  • Lead the customer development process to validate demand and focus on the target audience.
  • Establish the Inside Sales process.
  • Generate qualified opportunities.
  • Create a leads pipeline and track the efficiency of sales and marketing programs.
  • Initiate changes to the marketing program to support the leads pipeline.

Desired Skills and Experience:

  • 4+ years of global B2B sales management experience from SaaS/Service companies
  • Self-starter with proven success as a sales leader
  • Excellent written and spoken English
  • Technically adept

About Us

iKnowlogy is a BI and Data Science professional services company founded by two seasoned data scientists with rich experience.

We work with top-tier online hi-tech companies to deliver high-quality end-to-end analytic solutions using the latest data technologies, tailored to our customers’ business needs.

Seeking a data-driven individual with a passion for uncovering insights in raw data sets through meticulous analysis, exploration, visualization, and statistical techniques.
This individual will be responsible for the delivery of data solutions which can include: academic-grade analysis on a wide variety of customer data sets; automated data processes for reporting and optimization; Machine-learning based solutions.
If you are a problem solver, love math, self-learner, independent worker, fascinated with data, have 2 feet on the ground and eager to learn we invite you to apply to work with our expert team.
The position is in Tel Aviv. An office with all the hi-tech perks.

Responsibilities

  • Perform data analysis and exploration of high-volume and often messy data.
  • Visualize and communicate complex ideas in a straight forward manner.
  • Tackle business challenges from end to end and take responsibility for the entire cycle from data infrastructure through analysis and reporting to full working automated data solutions.
  • Work in collaboration with business functions and simultaneously on multiple domains.
  • Some more things that you will probably be doing: Automating analyses; Working on multiple SQL DB’s; Authoring data pipelines with an ETL tool or Python; AB testing analysis; high level KPI’s analysis; Building and analyzing dashboards and reports; Evaluating and defining metrics; Conduct frequent explorations of new data sets; Model user behaviors for analysis or for integration with production systems.

Job requirements

  • A think-fast problem solver, self-learner, independent worker, fascinated with data, has 2 feet on the ground and eager to learn.
  • 3+ years of experience in data sciences / analysis in a high volume and complex data business environment, preferably from online companies.
  • Business understanding – be able to match a data solution to a business problem.
  • A B.Sc./M.Sc. in statistics/mathematics/industrial engineering or another quantitative field.
  • Machine learning experience or extreme eagerness to learn.
  • People person – you will be required to communicate your results and collaborate with business functions daily.
  • Master of SQL – very strong must.
  • Experience in R / Python / SAS / Matlab or other programming language.
  • Experience with ETL’s, cloud infrastructure, big-data technologies – advantage.