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Answer:- Al Mulla Group job opportunity for Accountant job position. Answer: www. Candidates who looking smart, humble, young, dynamic, and experienced or non experienced professionals can apply for Al Mulla Group Sales Associate Arabic Speaker positions.
As the public face of the company the sales associate is responsible for dealing with any and all customer questions about the products and services the company offers. A sales associate is expected to be continuously updating their knowledge of the company products, services, and policies. Complaint handling is a critical part of this position. Turning a frustrated customer into a happy customer, while adhering to company policies, requires a combination of empathy and tact.
Another key responsibility is maintaining the presentation of the sales floor, products, signage, and displays. Apply Now. Through the promise of being leaders in every business sector we operate in, Al Mulla Group is driven by the values instilled by our founder, Mr. Abdullah Saleh Al Mulla. Our charter is built upon the values of Excellence, Professionalism, and Innovation , which define who we are and sets guidelines for the everyday lives of everyone at Al Mulla Group.
The pursuit of excellence is at the heart of every activity undertaken by the Group through the unwavering mission to excel and the spirit of not settling for anything less. Every member of the Al Mulla team shares a few principles in common — an ethos of professionalism to carry out our duties to the highest standards, and an unfailingly can-do attitude.
To innovate is to move forward. Al Mulla Group is constantly on the path of exploring new growth avenues, and opportunities to serve customers better. Al Mulla Engineering has signed a partnership agreement with Grasshopper Energy to provide clean An interaction of ownership with job tenure was insignificant and is not reported.
Of the demographic factors, women are around 2. The youngest workers are some 12 points less likely to be in arrears than the default 35— year-old category, although the differences between other age groups are smaller and less significant. Education seems to have little impact, with the exception of professional training, which seems to increase the chances of being in arrears by some 4.
With the demographic and skill composition of the workforce, ownership, and industrial structure controlled for, the regression still points to the importance of regional location for the incidence of wage arrears.
The marginal effects indicate a regional spread of 25 percentage points between Moscow or St. Petersburg and the East. There is, in addition, a significant positive rural effect on arrears of around 19 points. This may suggest that enterprises and workers living distant from the main administrative centers find it harder to plead their case.
Nevertheless, the probability of experiencing arrears does vary widely across the population. Separate probit regressions by industry and by region, based on RLFS data, confirm the previous results.
Regional location is the strongest contributing factor of arrears in all industries. The regressions by region, on the other hand, confirm that industry affiliation and firm characteristics dominate the determination of wage arrears in each region. Workers in an industry that on average has a low incidence of wage arrears experience lower risk in wage arrears in all regions. Workers in the metropolitan center will experience wage arrears if they work in a poorly performing industry.
If wage arrears were shared equally across the population, there would be less cause for concern than if arrears were concentrated on the same individuals. To address this issue, we simply count the number of times individuals are observed with wages in arrears across the three waves of the RLMS, restricting our sample to those continuously employed. Table 6 shows that, over the three-year observation period, a combination of rising inflow rate and falling outflow rate contributed to a rising stock of arrears in the population.
Those who drop out of the sample are some 7 points less likely to have wages in arrears, other things equal. These two effects therefore work in opposite directions, but the overall effect on estimates of persistence of confining the sample to those continuously in employ- ment is more likely to cause overestimation of the degree of persistence. Median arrears duration and 95th percentile of duration distribution are in brackets in the first panel.
Note that these are, usually, multiple incidences of arrears and not just one continuous period of non-payment. To check this we examine the length of time since last paid for each worker with wages in arrears in each wave.
The figures in brackets give median duration and 95th percentile of duration distribution of arrears. The median delay is two months in , rising to four months in This is consistent with the increased share of delayed payments observed in Table 2.
Arrears are also distributed unequally. By , one quarter of the sample working population had been in arrears in each of the three waves, while another quarter had yet to experience any arrears. The median level of arrears does not rise proportionately between new entrants and those in arrears previously, as the second panel in Table 6 shows.
This suggests that those in arrears have some of their debt paid off during the year. In order to identify the characteristics of those persistently in arrears, Table 7 presents the results of ordered probit estimates of the probability that an indi- vidual, in wave 3, would have been observed in arrears 0, 1, 2, or 3 times. This approach avoids the problem of introducing lagged dependent variables into a regression, which could otherwise deliver inconsistent estimates. The sample is confined to those in employment in all three waves.
The ordered probit results mirror the simple binary probit estimates. Unskilled, male workers between 35 and 44 years of age living in the regions furthest from the metropolitan areas and working in large scale enterprises for 10 years or more are most at risk from multiple wage arrears. In addition, in order to distinguish between the extensive and intensive nature of arrears, we present Tobit estimates of the amount of arrears for all workers in employment in Those not in arrears are censored at zero.
We estimate the determinants of the total stock of arrears for each worker, indexed for inflation. The Tobit estimates follow the same basic pattern regarding the incidence and persistence of arrears.
The level of arrears is reduced significantly by the presence of foreign ownership in the establishment. Few of the personal characteristics retain any statistical significance. Firm size, job tenure, and region dominate. Unemployment benefits are not available to job quits, and when they are paid, 22 they are not large relative to average wages.
Moreover, alterna- tive employment is perhaps available only in the most dynamic regions, typically Moscow and St. Petersburg, and the claim on arrears may be loosened once a worker leaves an establishment. Quits will be encouraged by a dynamic outside labor market push effects but discouraged by the need or ability to recoup arrears, magnified when inflation is low pull effects. To capture these effects, we measure mobility conditional on arrears over the course of a year using the RLMS panel.
We identify three possible labor market transitions, a move from an existing firm to employment with a new establish- ment, a move from employment to unemployment, and a move from employment to inactivity.
The rest are scattered among other home production activities. We then run a 22 Clarke notes that unemployment benefit arrears are now a feature in many regions. We believe that job-to-job moves will be dominated by quits, as in most Western countries.
Also recall the low layoff shares cited in Section 3. Petersburg Robust standard errors are in brackets. The base category is the sample of workers who remain with the same firm over the year. The reported coefficients are marginal effects relative to the sample mean transition probability. Job to inactivity Variable marginal effects marginal effects marginal effects Arrears 0. Regression includes controls for age, education, gender, marital status, job tenure, estab- lishment size, industry, and occupation.
Sample mean transition rates: job-to-job, 0. Sample size, 6, The magnitude of these effects is, however, small. Those in arrears are around one percentage point more likely to move job-to-job compared with the mean transition probability of 7. We then interact the arrears dummy with the dummy for the metropolitan areas of Moscow and St. This interaction term is highly significant in the job-to-job move equation, but not for the moves out of employment. How to Properly Fill Out an Application Forms Make sure all the words you put into the document are correctly spelled; any misspelled word will be a point against you.
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